CVonline: All Entries

Genetic algorithms (Neil Thacker and Tim Cootes)
Steerable Pyramids (Eero Simoncelli)
JAVA demo comparing Pyramid and Wavelet Transforms (EPFL Biomedical Imaging Group)
Image Pyramids (Technical University Graz)
Resolution Pyramids (PDF, Section 3.7, page 5) (Computer Vision, Dana Ballard and Christopher Brown)
Computational Vision (PDF - (CogNet Access Req.) Part 3.4.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Pyramids (PDF Sec 3.5.1) (Bryan Morse)
Pyramids (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
The laplacian pyramid as a compact image code (P.J. Burt, E.H. Adelson)
Image pyramids (F. Rottensteiner)
Image pyramids and trees (J.A. Robinson)
Image Pyramids (M.A. Ruzon)
Hierarchical data structures (J.A. Dickerson)
Level Set (Eric Weisstein/Wolfram Research)
Model-Fitting Using the Minimum Description Length Principle (Rhodri Davies, Tim Cootes and Chris Taylor)
Estimating local variance for Gaussian filtering (See Section 3) (Giovani Gomez)
The need for multi-scale representation of image data (Tony Lindeberg)
Scale reduction by treating images as embedding maps and minimal surfaces (Ron Kimmel)
Origin of scale (Ramani Pichumani)
Psychophysics of resolution (PDF - (CogNet Access Req.) Part 3.4.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Fractal (Eric Weisstein/Wolfram Research)
Fractals in shape analysis (PDF pg 2.37) (Volodymyr Kindratenko)
Wavelet (Eric Weisstein/Wolfram Research)
An Introduction To Wavelets (PS) (Amara Graps)
A Non-parametric Multi-Scale Statistical Model for Natural Images (PDF) (Jeremy S. De Bonet, Paul Viola)
Wavelets: Software and Applications (Geert Uytterhoeven)
Wavelets for Kids (PS) (Brani Vidakovic, Peter Mueller)
The Bayesian model (see also next 2 sections) (Ramani Pichumani)
Image segmentation using belief networks (Ramani Pichumani)
Bayesian Networks in Computer Vision (McGill University)
Bayesian Inference in Vision (Imperial College, London)
Wavelet Networks for Vision (Volker Krüger)
Wavelet Networks (Eduardo Martin Moraud)
Relaxation Labeling (Andrew Wallace and Sarah Price)
Discrete relaxation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Relaxation labelling methods (Dave Marshall)
Scene Labeling and Constraint Relaxation (PDF, Section 12.4, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Active Knowledge (PDF, Section 12.5, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Overiew of probabilistic relaxation labelling (Dave Marshall)
Applications of probabilistic relaxation labelling (Dave Marshall)
Probabilistic relaxation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Relaxation Labelling (David Marshall)
Tensor Voting (Gérard Medioni)
3D vision tasks (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Purposive paradigm (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Qualitative vision (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Solid Angles (PDF ch 7) (Alex Ryer)
Coordinate Systems in the Plane (Silvio Levy and the University of Minnesota's Geometry Center)
Coordinate Systems in Space (Silvio Levy and the University of Minnesota's Geometry Center)
Coordinate Systems (PDF, Section A1.1, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Cartesian Coordinates in the Plane (Silvio Levy and the University of Minnesota's Geometry Center)
Cartesian Coordinates in Space (Silvio Levy and the University of Minnesota's Geometry Center)
Cartesian (PDF, Section A1.1.1, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Cylindrical Coordinates in Space (Silvio Levy and the University of Minnesota's Geometry Center)
Spherical and Cylindrical (PDF, Section A1.1.3, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
Finding straight lines and circles in log-polar images (David Young)
Similarity Transforms (PDF, pg 2) (Bruce Draper and J. Ross Beveridge)
Polar Coordinates (Ian Craw)
Polar Coordinates in the Plane (Silvio Levy and the University of Minnesota's Geometry Center)
Polar Coordinates (Ian Craw)
Polar and Polar Space (PDF, Section A1.1.2, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Spherical Coordinates in Space (Silvio Levy and the University of Minnesota's Geometry Center)
Spherical and Cylindrical (PDF, Section A1.1.3, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
Dual Space (Eric Weisstein/Wolfram Research)
Homogeneous Coordinates (Paul Beardsley)
Homogeneous Coordinates (Roger Mohr and Bill Triggs)
Homogeneous Representations (Andrew Zisserman)
Homogeneous Point and Line Representations (Paul Beardsley)
Homogeneous Coordinates (Stan Birchfield)
Homogeneous Coordinates in the Plane (Silvio Levy and the University of Minnesota's Geometry Center)
Homogeneous Coordinates in Space (Silvio Levy and the University of Minnesota's Geometry Center)
Homogeneous and Projective Coordinates (PS file. See pg 18 / Section 4.3) (Philip Torr)
Homogeneous Coordinates (PDF, Section A1.1.4, page 3) (Computer Vision, Dana Ballard and Christopher Brown)
Description of object pose with homogenous transformations (PDF, Section 8.2, pages 2-5) (Machine Vision; David Vernon)
Expressing Pose: rotation and translation matrices and vectors (Andrew Wallace and Sarah Price)
Foundations about 2D-3D Pose Estimation (PDF, pg 5) (Bodo Rosenhahn, Christian Perwass, Gerald Sommer)
Description of object pose with homogenous transformations (PDF, Section 8.2, pages 2-5) (Machine Vision; David Vernon)
Small Angle Linearization of Rotations (PDF page 14) (Vincent Lepetit and Pascal Fua)
On The Reconstruction of a Scene from Two Unregistered Images (PDF chapter 7 section 2) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Euler Angles (Eric Weisstein/Wolfram Research)
Euler Angles (PDF page 11) (Vincent Lepetit and Pascal Fua)
Euler Parameters (Eric Weisstein/Wolfram Research)
Quaternions (PDF page 12) (Vincent Lepetit and Pascal Fua)
Rotation Matrix (Eric Weisstein/Wolfram Research)
Model Fitting using the Bhattacharyya Measure (Rhodri Davies, Neil Thacker and Chris Taylor)
Non-parametric Distribution Comparison (Ali Shahrokni, Tom Drummond and Pascal Fua)
Earth Mover's Distance (Yossi Rubner)
Non-parametric distribution comparison (Ali Shahrokni, Tom Drummond and Pascal Fua)
Metric and topological properties of digital images (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification (Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger)
Algorithms for Clustering Data (PDF section 2.2.1) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
The Hausdorff Distance (Dmitry Chetverikov, Yuri Khenokh and Judit Verestoy)
Hausdorff-Based Image Comparison (Cornell University Computer Vision Group)
Hausdorff Metric (PDF, pg 1-2) (Bruce Draper and J. Ross Beveridge)
Mahalanobis Distance Metric (Bob Fisher)
Algorithms for Clustering Data (PDF section 2.2.1) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Metric and topological properties of digital images (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Algorithms for Clustering Data (PDF section 2.2.1) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Review of elementary mathematics for vision students (Bob Fisher)
Vectors (PDF, Section A1.3, page 5) (Computer Vision, Dana Ballard and Christopher Brown)
Matrics (PDF, Section A1.4, page 7) (Computer Vision, Dana Ballard and Christopher Brown)
Vectors and Set-Theory Revision (Adrian Bowyer, University of Bath)
Image segmentation of Uterine cervix images (PDF) (Antonios Perperidis)
Statistical background info for the optimization techniques discussed below (Neil Thacker and Tim Cootes)
Overview of optimization (Neil Thacker and Tim Cootes)
Overview of optimization parameter estimation (Neil Thacker and Tim Cootes)
Estimation of Chi-squared covariance (Neil Thacker and Tim Cootes)
Optimization of 1D functions (Neil Thacker and Tim Cootes)
Golden section search (Neil Thacker and Tim Cootes)
Lagrange techniques (Neil Thacker and Tim Cootes)
Multi-dimensional search overview (Neil Thacker and Tim Cootes)
Basic search with no derivatives) (Neil Thacker and Tim Cootes)
Conjugate directions (Neil Thacker and Tim Cootes)
Global optimization overview (Neil Thacker and Tim Cootes)
A Survey of Global Optimization Methods (Perry Gray, William Hart, Laura Painton, Cindy Phillips, Mike Trahan, John Wagner)
Continuous Global Optimization Software: A Brief Review (Janos D. Pinter)
Simplex algorithm (Neil Thacker and Tim Cootes)
Downhill Simplex Method for Many (~20) Dimensions (Grzegorz Kaczmarczyk)
Downhill Simplex Method (A. Filippone)
Downhill Simplex Method in Multidimensions (Zhanshan Dong)
Multi-resolution methods and Graduated Non-Convexity (Neil Thacker and Tim Cootes)
Comparison of the Efficiency of Deterministic and Stochastic Algorithms for Visual Reconstruction (PDF chapter 15 section 2.3) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Simulated annealing (Neil Thacker and Tim Cootes)
Simulated Annealing (Brian T. Luke)
A demonstration of Simulated Annealing (Taygeta Scientific Inc.)
Weak Continuity Constrains Generate Uniform Scale-Space Descriptions of Plane Curves (PDF chapter 16 section 2) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Introduction to derivative based search (Neil Thacker and Tim Cootes)
Comment on use of memory by these methods (Neil Thacker and Tim Cootes)
Levenberg-Marquardt and second derivative methods (Neil Thacker and Tim Cootes)
Levenberg-Marquardt Minimization (Marc Pollefeys)
Quasi-Newton first-derivative methods (Neil Thacker and Tim Cootes)
Levenberg-Marquardt minimization (Marc Pollefeys)
Newton-Raphson Pose Determination(PDF, pg 1-4) (Bruce Draper and J. Ross Beveridge)
Newton-Based Minimization (PDF page 21) (Vincent Lepetit and Pascal Fua)
Model Selection in computer vision (Kishore Bubna and Charles V. Stewart)
Model Selection (Neil Thacker and Tim Cootes)
Problems in Model Selection for Range Segmentation (Niloofar Gheissari,Alireza Bab-Hadiashar)
Calculus of Variations (Eric Weisstein/Wolfram Research)
Estimation of Stereo and Motion Parameters Using a Variational Principle (PDF chapter 6) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Eigenfunction (Eric Weisstein/Wolfram Research)
Eigenvalue (Eric Weisstein/Wolfram Research)
Eigenvector (Eric Weisstein/Wolfram Research)
Decompositions (Methods and Data Quantlets)
Eigen Decomposition (Mathworld)
Matrix Decomposition (Mathworld)
Computing the Eigen Decomposition of a Symmetric Matrix in Fixed-point Arithmetic (Ittiam Systems)
Eigenvalue Decomposition (Rice University)
Principal components analysis (Wikipedia)
Principal Component Analysis and Dataset Transformation (Bob Fisher)
Principal Component Analysis (Paul Boersma and David Weenink)
Principal Component Analysis (PDF file. pg 15) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
PCA 1 (PDF, pg 1-6) (Bruce Draper and J. Ross Beveridge)
PCA 2 (PDF, pg 1-5) (Bruce Draper and J. Ross Beveridge)
Algorithms for Clustering Data (PDF section 2.4.1) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Fisher Linear Discriminant Analysis and Dataset Transformation (Bob Fisher)
Dimensionality Reduction by Canonical Contextual Correlation Projections (Marco Loog, Bram van Ginneken, Robert P. Duin)
Independent Component Analysis (Dick de Ridder)
Independent Component Analysis (Max Welling and Markus Weber)
An ICA page - papers, code, demos, links (Tony Bell)
Independent Component Analysis: A Tutorial (Aapo Hyvarinen, Erkki Oja)
Kernel Discriminant Analysis (Yongmin Li, Shaogang Gong, Heather Liddell)
Kernel Principal Component Analysis (Carole Twining)
Structure Tensor - Tutorial and Demonstration (Shawn Arseneau)
Singular Value Decomposition (Eric Weisstein/Wolfram Research)
Singular Value Decomposition and Least Square Fitting (PS file. See pg 69 / Appendix B) (Philip Torr)
Eigenspace 1 (PDF, pg 1-6) (Bruce Draper and J. Ross Beveridge)
Eigenspace 2 (PDF, pg 1-5) (Bruce Draper and J. Ross Beveridge)
SVD (Subhashis Banerjee)
Singular Value Decomposition (Todd Will)
Two View Geometry Summary (Andrew Zisserman)
Two View Notation (Andrew Zisserman)
Two-View Geometry (Andrea Fusiello)
Multiple View Geometry (Andrea Fusiello)
Metric, affine and projective point recovery summary (Bob Fisher)
Review of Uncalibrated Euclidean Reconstruction (Andrea Fusiello)
3D Reconstruction from Multiple Images (Roger Mohr and Bill Triggs)
Triangulation (Andrea Fusiello)
3D Reconstruction (Andrea Fusiello)
Algebraic vs geometric error (Andrea Fusiello)
The image of the absolute conic (Marc Pollefeys)
Image of the absolute conic (Andrea Fusiello)
Projective reconstruction (See projective reconstruction) (Zhengyou Zhang)
Multi-view stereo (Marc Pollefeys)
Middlebury Stereo Vision Page (Daniel Scharstein, Richard Szeliski)
Chapter 9. Computational Vision (PDF Chapter 9 page 260, box 9.5)
Multi-view stereo (Marc Pollefeys)
Wide Baseline Matching (PDF page 68) (Vincent Lepetit and Pascal Fua)
Projective stereo vision (Roger Mohr and Bill Triggs)
Stereo geometry for parallel and converging cameras (David Young)
Stereo Vision overview (Andrew Wallace and Sarah Price)
Panum's fusional area (Andrew Wallace and Sarah Price)
Random dot Stereograms (Andrew Wallace and Sarah Price)
Why use 3D data? (Dave Marshall)
Methods of 3D Data Acquisition (Dave Marshall)
General stereo background (Robyn Owens)
Marr and Poggio approach (Robyn Owens)
Ohta and Kanade approach (Robyn Owens)
SRI approach (Robyn Owens)
The PMF system (Robyn Owens)
Projective transformation between two images of a planar scene (Andrew Zisserman)
Binocular stereo overview with some nice examples (Rolf Henkel)
Stereo Disparities and Depth (Rolf Henkel)
The Cyclopean View (Rolf Henkel)
Detecting occlusions during stereo matching (Ralph Trapp)
Two cameras, stereopsis (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
An overview of shape from stereo (Helmut Cantzler)
3D Imaging Using Stereo Vision (Changming Sun)
Two view geometry (Marc Pollefeys)
Stereo matching (Marc Pollefeys)
Recovery of projective structure (PS file. See pg 49 / Chapter 7) (Philip Torr)
Stereo (PDF, pg 1-3) (Bruce Draper and J. Ross Beveridge)
Stereo Vision and Triangulation (PDF, Section 3.4.1, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Stereo Vision and Triangulation (PDF, Section 3.4.1, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Computational Vision (PDF - (CogNet Access Req.) Part 6.3.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Computational Vision (PDF - (CogNet Access Req.) Part 6.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Classical cooperative stereo schemes (Rolf Henkel)
Stereovision by coherence-detection (Rolf Henkel)
Disparity and depth (Robyn Owens)
Computational Vision (PDF - (CogNet Access Req.) Part 6.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Computational Vision (PDF - (CogNet Access Req.) Part 6.1) (Computational Vision, H.A. Mallot, J.S. Allen)
PFM: A Stereo Correspondence Algorithm using a Disparity Gradient Limit (PDF Chapter 1 section 2) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Dense Disparity Map Estimation Respecting Image Discontinuities (L.Alvarez, R.Deriche, J.Sanchez and J.Weickert)
Constrained matching (Marc Pollefeys)
Feature Detection (Andrew Wallace and Sarah Price)
A stereo vision system (Andrew Wallace and Sarah Price)
Feature matching (Robyn Owens)
Stereo using Monocular Cues within the Tensor Voting Framework (Gerard Medioni, Philippos Mordohai)
Computational Vision (PDF - (CogNet Access Req.) Part 6.3.3) (Computational Vision, H.A. Mallot, J.S. Allen)
Image pair rectification (Marc Pollefeys)
Rectification of Stereo Images (Andrea Fusiello)
Image rectification (Robyn Owens)
Planar rectification (Marc Pollefeys)
Rectification (Andrea Fusiello)
Polar rectification (Marc Pollefeys)
Epipolar Rectification (Andrea Fusiello)
Coarse-to-fine multiresolution matching (Robyn Owens)
Grey Level Correlation (Andrew Wallace and Sarah Price)
Intensity matching (Robyn Owens)
Metric 3D reconstruction from uncalibrated image sequences (PDF) (Marc Pollefeys et al)
Self-calibration/Uncalibrated stereo (Robyn Owens)
Projective reconstruction (See projective reconstruction) (Zhengyou Zhang)
Epipolar Geometry (Roger Mohr and Bill Triggs)
Epipolar geometry (Robyn Owens)
Epipolar Geometry Definitions (Andrew Zisserman)
Epipolar Geometry Examples (Andrew Zisserman)
Epipolar Geometry on Curved Surfaces (Jun Sato)
Epipolar geometry (Andrea Fusiello)
Epipolar geometry (Tony Jebara, Ali Azarbayejani and Alex Pentland)
Cylindrical Epipolar Geometry (Salvatore Livatino)
Essential matrix (Robyn Owens)
The Essential Matrix (Andrew Zisserman)
Essential and fundamental matrices (Stan Birchfield)
The Essential Matrix E (Andrea Fusiello)
Pinhole, Epipolar and Fundamental Matrix models (See Epipolar Geometry) (Zhengyou Zhang)
The Fundamental Matrix Song (Daniel Wedge)
Fundamental matrix (Robyn Owens)
The Fundamental Matrix (Andrew Zisserman)
Computing the Fundamental Matrix (Andrew Zisserman)
Computing the Fundamental Matrix Part 2 (Andrew Zisserman)
Essential and fundamental matrices (Stan Birchfield)
Relation between the fundamental matrix and image homographies (Marc Pollefeys)
Estimation of the Fundamental Matrix (7 point, 8 point, more and robust algorithms) (Marc Pollefeys)
Fundamental Matrix (PS file. See pg 21 / Section 4.4) (Philip Torr)
Estimation of Fundamental Matrix (PS file. See pg 14/38 / Chapter 4/5) (Philip Torr)
Derivation of Fundamental Matrix (PS file. See pg 67 / Appendix A) (Philip Torr)
The Fundamental Matrix F (Andrea Fusiello)
The stereo correspondence problem (Andrew Wallace and Sarah Price)
The correspondence problem (David Young)
Correspondence Constraints (Robyn Owens)
Eliminating F Estimation Mismatches (Andrew Zisserman)
Optimal Combination of Multiple Sensors Including Stereo Vision (PDF chapter 12 section 13) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Cardiff's Active Stereo Vision System (Dave Marshall)
Active stereo stripe ranging (Robyn Owens)
PFM: A Stereo Correspondence Algorithm using a Disparity Gradient Limit (PDF chapter 1 pages 11-24) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
PFM: A Stereo Correspondence Algorithm using a Disparity Gradient Limit (PDF section 2 page 7) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Exploiting scene constraints (Marc Pollefeys)
Disparity Gradient, Lipschitz Continuity and Computing Binocular Correspondences(PDF chapter 2) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
The Role of Disparity Gradient in Stereo Vision (PDF chapter 5) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Binocular Stereo Algorithm Based on the Disparity-Gradient Limit and Using Optimization Theory (PDF chapter 4) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Exploiting scene constraints (Marc Pollefeys)
Java demo on Epipolar Lines (Zhengyou Zhang)
The correspondence problem (David Young)
Epipolar Line Calculation (Robyn Owens)
Epipolar Correspondence Matching (Andrew Zisserman)
Exploiting scene constraints (Marc Pollefeys)
The epipolar constraint (Andrea Fusiello)
On The Reconstruction of a Scene from Two Unregistered Images (PDF chapter 7 section 5) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Double and Triple Ambiguities in the Interpretation of Two Views of a Scene (PDF Chapter 30 - section 2) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Matching using feature similarity (David Young)
Exploiting scene constraints (Marc Pollefeys)
Exploiting scene constraints (Marc Pollefeys)
Multi view geometry (Marc Pollefeys)
Computational Vision (PDF - (CogNet Access Req.) Part 6.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Epipolar Geometry (Andrea Fusiello)
Estimating the epipole (Andrea Fusiello)
PFM: A Stereo Correspondence Algorithm using a Disparity Gradient Limit (PDF Chapter 1 section 3.1,3.2) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Novel View Synthesis in Tensor Space (Shai Avidan)
Plane Projective Transfer Example (Andrew Zisserman)
What information can be extracted from two scenes? (Robyn Owens)
Cylindrical Panoramic Transfer and Appearance Prediction for the Match of Real Observations (Salvatore Livatino)
The trifocal tensor (Tony Jebara, Ali Azarbayejani and Alex Pentland)
Trifocal tensor (Andrea Fusiello)
INRIA's Trinocular Stereo (Robyn Owens)
Three view geometry (Marc Pollefeys)
Trifocal geometry + constraint (Andrea Fusiello)
Multifocal constraints (Andrea Fusiello)
Multi-view stereo (Marc Pollefeys)
Multifocal constraints (Andrea Fusiello)
Optimal Combination of Multiple Sensors Including Stereo Vision (PDF chapter 12 section 14) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Surface Reconstruction (N.F. Law and R. Chung)
Geometry Modelling (Anastasios Manessis)
Reconstruction from dense passive sensors range data (Anastasios Manessis)
Multiple view reconstruction (Anastasios Manessis)
Shape Reconstruction (Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras)
On The Reconstruction of a Scene from Two Unregistered Images (PDF chapter 7 section 5) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Image-Based Modelling (Anastasios Manessis)
Plenoptic model (Marc Pollefeys)
Texture enhancement (Marc Pollefeys)
Texture synthesis (Rupert Paget)
Surface model (Marc Pollefeys)
Triangulation (Andrea Fusiello)
Volumetric model (Marc Pollefeys)
Visual Hull (David Schneider)
Bayesian Methods of Parameter Estimation (Aciel Eshky)
Bayesian Analysis (Eric Weisstein/Wolfram Research)
Least Squares Fitting (Eric Weisstein/Wolfram Research)
Least-squares (Subhashis Banerjee)
Least-Squared-Error Fitting (PDF, Section A1.9, page 4) (Computer Vision, Dana Ballard and Christopher Brown)
Linear Least Square Estimation (PDF page 20) (Vincent Lepetit and Pascal Fua)
Optimal Combination of Multiple Sensors Including Stereo Vision (PDF chapter 12 sections 3,4,5,6 and 7) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Basic Statistics (Young, Gerbrands and van Vliet)
Measurements and Noise (Robyn Owens)
Summary of Bayes rule (Neil Thacker and Tim Cootes)
Bayes rule and maximum likelihood estimation (Neil Thacker and Tim Cootes)
Chapter 4. Reasoning and Problem Solving (PDF Chapter 4 page 98-100)
Recovering intrinsic structure (PDF, pg 63) (Chris Brown and Dana Ballard)
Image formation (PDF, pg 14) (Chris Brown and Dana Ballard)
Correlation (Eric Weisstein/Wolfram Research)
Data correlation and independence (PDF file. pg 15) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Algorithms for Clustering Data (PDF section 4.1.3) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Rigid-Body Pose and Position Interpolation using Geometric Algebra (Richard Wareham, Joan Lasenby)
Clifford algebra (Bodo Rosenhahn, Christian Perwass, Gerald Sommer)
Error Propagation (Neil Thacker and Tim Cootes)
Error propagation (PDF file. pg 13) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Error Propogation and Algorithmic Design Principles (pg 10) (P. Courtney, N. A. Thacker)
Gaussian Mixture Models (Yogesh Raja and Shaogang Gong)
Mixture models (ssimon@cmh.edu)
Gaussian Mixture Models (Yogesh Raja)
Demo: EM algorithm with Gaussian Mixture Models (S. Akaho, Olivier Michel)
Algorithms for Clustering Data (PDF section 3.3.4) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Hidden Markov Models (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Overview of Mutual Information (Hannes Kruppa and Bernt Schiele)
Information Theory, Inference, and Learning Algorithms (PDF Section IV) (Information Theory, Inference, and Learning Algorithms, D. Mackay)
An Introduction to the Kalman Filter (Greg Welch and Gary Bishop)
The Kalman Filter Model (See also next 3 pages) (Ramani Pichumani)
Kalman Filter Home Page (Greg Welch and Gary Bishop)
Tutorial on parameter estimation (Zhengyou Zhang)
Optimal combination of two parameter estimates (Neil Thacker and Tim Cootes)
Kalman Filtering (PDF page 27) (Vincent Lepetit and Pascal Fua)
Tutorial on parameter estimation (Zhengyou Zhang)
Gaussian distributions and least square estimation (Neil Thacker and Tim Cootes)
Least Squares Fitting (Eric Weisstein/Wolfram Research)
Model Fitting using the Bhattacharyya Measure (Rhodri Davies, Neil Thacker and Chris Taylor)
Monte-Carlo techniques (PDF file. pg 18) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Monte Carlo Methods for Computer Vision (Alfredo Kalaitzis)
Monte Carlo Method (Eric Weisstein/Wolfram Research)
An introduction to Markov chain Monte Carlo (Julien Sénégas)
Algorithms for Clustering Data (PDF section 4.1.4) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Information Theory, Inference, and Learning Algorithms (PDF chapters 29,30 and 32) (Information Theory, Inference, and Learning Algorithms, D. Mackay)
Markov Chain (Eric Weisstein/Wolfram Research)
An introduction to Markov chain Monte Carlo (Julien Sénégas)
Markov Chain Monte Carlo for Computer Vision (Song-Chun Zhu, Frank Delleart, Zhuowen Tu)
Random Number (Eric Weisstein/Wolfram Research)
Tutorial on parameter estimation (Zhengyou Zhang)
Robust Estimation (Eric Weisstein/Wolfram Research)
Dealing with outliers (pg 17) (P. Courtney, N. A. Thacker)
Robust Estimation (PDF page 22) (Vincent Lepetit and Pascal Fua)
M-estimators (PDF page 23) (Vincent Lepetit and Pascal Fua)
Robust estimation (Andrea Fusiello)
Basic Properties of Projective Space (Roger Mohr and Bill Triggs)
Projective Transformations (Paul Beardsley)
Projection Matrix Representations Andrew Zisserman
Properties of Projection Matrix Representations (Andrew Zisserman)
Introduction to projection geometry (Stan Birchfield)
Four models for the projective plane (Stan Birchfield)
Basics of projective geometry (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Projective geometry (Marc Pollefeys)
Projective Transformations (Marc Pollefeys)
An Introduction to Projective Geometry (Stan Birchfield)
The camera model and the inverse perspective transformation (PDF, Section 8.6, pages 21-24) (Machine Vision; David Vernon)
Affine cameras (Toshio Ueshiba)
Affine stratum (Marc Pollefeys)
From projective to affine (Marc Pollefeys)
Affine Transformations (Silvio Levy and the University of Minnesota's Geometry Center)
Imaging Geometry and Central Projection (Andrew Zisserman)
Orthographic and Perspective Projection (Andrew Wallace and Sarah Price)
Euclidean stratum (Marc Pollefeys)
Approximations of camera projection and related homographic relations (Diane Lingrand)
Planes and collineations (Andrea Fusiello)
A Hierarchy of Geometries (Roger Mohr and Bill Triggs)
Introduction to projection geometry (Stan Birchfield)
The stratification of 3D geometry (Marc Pollefeys)
Summary of stratification (Marc Pollefeys)
Orthographic and other affine cameras (Toshio Ueshiba)
Approximations of camera projection and related homographic relations (Diane Lingrand)
Paraperspective and other affine cameras (Toshio Ueshiba)
Approximations of camera projection and related homographic relations (Diane Lingrand)
Perspective Projection and Real Cameras (Roger Mohr and Bill Triggs)
Orthographic and Perspective Projection (Andrew Wallace and Sarah Price)
Perspective projection (David Young)
Computing the projective distortion matrix (See computing projective distortion) (Zhengyou Zhang)
Perspective Projection (Robyn Owens)
Key Points about General Perspective Projection (Andrew Zisserman)
Ideal Points and Vanishing Points (Paul Beardsley)
Perspective projection into two views (Imad Zoghlami)
Perspective cameras (Toshio Ueshiba)
Perspective camera model (Andrea Fusiello)
Perspective projection and image formation (Stan Birchfield)
Vanishing points (Stan Birchfield)
Perspective camera models (Tony Jebara, Ali Azarbayejani and Alex Pentland)
The single perspective camera (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Projective stratum (Marc Pollefeys)
The camera model and the inverse percpective transformation (PDF, Section 8.6, pages 21-24) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Part 2.2.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Computational Vision (PDF - (CogNet Access Req.) Part 2.3) (Computational Vision, H.A. Mallot, J.S. Allen)
Summary of Plane Projective Transformations (Andrew Zisserman)
Plane projective transformation (Andrew Zisserman)
Four points define a planar projective transformation (Andrew Zisserman)
Rotation about the Optical Center (Andrew Zisserman)
Computing Plane Projective Transformations (Andrew Zisserman)
Example on Removing Perspective Distortion (Andrew Zisserman)
Example on Synthetic Rotations (Andrew Zisserman)
The Projective Plane (Marc Pollefeys)
Relation between projection matrices and image homographies (Marc Pollefeys)
Projective Space (Stan Birchfield)
Projective 3-space (Marc Pollefeys)
Projective Transformations (Silvio Levy and the University of Minnesota's Geometry Center)
Elements of Geometric Computer Vision (Andrea Fusiello)
Real Camera Projection (Roger Mohr and Bill Triggs)
Metric stratum (Marc Pollefeys)
From projective or affine to metric (Marc Pollefeys)
Similarities (Silvio Levy and the University of Minnesota's Geometry Center)
Weak perspective and other affine cameras (Toshio Ueshiba)
General discussion on projective invariants (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Absolute points (Stan Birchfield)
Collineations (Stan Birchfield)
Conics (Stan Birchfield)
Invariants of Conics (PDF Sec 7.8.3) (Bryan Morse)
Plane conics (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Conics and quadrics (Marc Pollefeys)
Coplanarity Invariants (Bob Fisher)
The cross ratio (Stan Birchfield)
Cross Ratio (PDF Sec 7.8.1) (Bryan Morse)
Cross ratio (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Differential invariants (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Duality (Stan Birchfield)
Conics and quadrics (Marc Pollefeys)
Projective Invariants (Paul Beardsley)
Projective Invariants and the Cross Ratio (Roger Mohr and Bill Triggs)
Geometric invariants (Robyn Owens)
Demonstration of Cross Ratio (Stan Birchfield)
Laguerre formula (Stan Birchfield)
Metric stratum (Marc Pollefeys)
Pencil of lines (Stan Birchfield)
Five general coplanar lines (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Affine Arc Length and Affine Curvature (Sadegh Abbasi-Kooshk-Mehdi)
Boundary Length (PDF Sec 7.6.1) (Bryan Morse)
Bending Energy (PDF Sec 7.6.3) (Bryan Morse)
Bending energy (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Chord Distribution (PDF Sec 7.6.5) (Bryan Morse)
Chord (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Curvature of Phi-S Curves (PDF Sec 7.6.2) (Bryan Morse)
Curvature (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Contour parametric and contour complex functions (PDF pg 2.10) (Volodymyr Kindratenko)
Dupin's Cyclide and the Cyclide Patch (PDF Chapter 22 pages 199-202) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
3D Human Motion reconstruction in Monocular Video (PDF) (Cristian Sminchisescu)
Vignetting (Nikolaos Laskaris)
Vignette and Exposure Calibration and Compensation (Dan B Goldman, Jiun-Hung Chen)
Dynamic Feature Graph (Feng Tang)
Euler number and various binary image region properties properties (Dave Marshall)
Discussion on invariant measures (Dave Marshall)
Overview and Java demonstration on Property Distributions (Andrew Fitzgibbon)
Binary Images (Robyn Owens)
Simple geometrical shape parameters (PDF pg 2.35) (Volodymyr Kindratenko)
Area and Centroid of a Non-Convex Polygon (Earl Glynn)
Some Simple Shape Descriptors (PDF Sec 9.2) (Bryan Morse)
Simple scalar region descriptors (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Simple geometrical shape parameters (PDF pg 2.32) (Volodymyr Kindratenko)
Area (PDF, Section 8.4.1, page 8) (Computer Vision, Dana Ballard and Christopher Brown)
Bays in Convex Hull (PDF Sec 9.5) (Bryan Morse)
Center of Mass (Robyn Owens)
Area and Centroid of a Non-Convex Polygon (Earl Glynn)
Simple geometrical shape parameters (PDF pg 2.36) (Volodymyr Kindratenko)
Eccentricity, compactness and other properties (Dave Marshall)
Some Simple Shape Descriptors (PDF Sec 9.2) (Bryan Morse)
Eccentricity, Elongatedness and Compactness (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Eccentricity (PDF, Section 8.4.2, page 9) (Computer Vision, Dana Ballard and Christopher Brown)
Compactness (PDF, Section 8.4.4, page 10) (Computer Vision, Dana Ballard and Christopher Brown)
Simple geometrical shape parameters (PDF pg 2.36) (Volodymyr Kindratenko)
Euler's number (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Euler Number (PDF, Section 8.4.3, page 9) (Computer Vision, Dana Ballard and Christopher Brown)
Extremal Points (PDF Sec 9.6) (Bryan Morse)
Simple geometrical shape parameters (PDF pg 2.32) (Volodymyr Kindratenko)
Fourier Descriptors (PDF Sec 7.7) (Bryan Morse)
Some Simple Shape Descriptors (PDF Sec 9.2) (Bryan Morse)
External scalar transform descriptors: features of the boundary (PDF, Section 7.2, pages 1-2) (Machine Vision; David Vernon)
Moments and Moment Invariants (Dave Marshall)
Moments (Andrew Fitzgibbon)
Binary Moments (Robyn Owens)
Binary Image Moment Invariants (Bob Fisher)
Statistical Moments, Central Moments (PDF Sec 9.8) (Bryan Morse)
Moments, Moment Invariants, Moment Characteristics (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Non-orthogonal moments (Jamie Shutler)
Hu invariant set (Jamie Shutler)
Moments of Intensity (PDF Sec 22.4.1) (Bryan Morse)
Zernike and Velocity Moments (Jamie Shutler)
Zernike and Velocity Moments (Jamie Shutler)
Complex Zernike moments (Jamie Shutler)
Some Simple Shape Descriptors (PDF Sec 9.2) (Bryan Morse)
Direction (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Simple geometrical shape parameters (PDF pg 2.34) (Volodymyr Kindratenko)
Simple geometrical shape parameters (PDF pg 2.35) (Volodymyr Kindratenko)
Rectangularity (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Simple geometrical shape parameters (PDF pg 2.35) (Volodymyr Kindratenko)
Topological Descriptors, Euler Number (PDF Sec 9.4) (Bryan Morse)
Simple geometrical shape parameters (PDF pg 2.35) (Volodymyr Kindratenko)
Mean and Gaussian Curvature (Andrew Wallace and Sarah Price)
The Fundamental Vector Product and Surface Area (Duke University)
Surface Description and Differential Geometry (Andrew Wallace and Sarah Price)
Gauge Coordinates (PDF Sec 11.2.2, 11.3.3) (Bryan Morse)
Surface Hessian (PDF Sec 11.3) (Bryan Morse)
Mean and Gaussian Curvature (Andrew Wallace and Sarah Price)
Surface Description and Differential Geometry (Andrew Wallace and Sarah Price)
Multi-Scale Surface Curvature Estimation (Nasser Khalili, Peter Yuen, Farzin Mokhtarian)
Principal Curvatures and Directions (PDF Sec 11.1) (Bryan Morse)
Deviation from Flatness (PDF Sec 11.4.4) (Bryan Morse)
Mean and Gaussian Curvature (Andrew Wallace and Sarah Price)
Gaussian Curvature (PDF Sec 11.4.1) (Bryan Morse)
Koenderink's Shape Index (Philip Worthington, Benoit Huet and Edwin Hancock)
Comparison of HK and SC curvature description methods (Helmut Cantzler, Robert Fisher)
Koenderink's Shape Classification (PDF Sec 11.4.9) (Bryan Morse)
Mean and Gaussian Curvature (Andrew Wallace and Sarah Price)
Mean Curvature (PDF Sec 11.4.2) (Bryan Morse)
Mean and Gaussian Curvature (Andrew Wallace and Sarah Price)
Mean and Gaussian Curvature Shape Classification (PDF Sec 11.4.5) (Bryan Morse)
Comparison of HK and SC curvature description methods (Helmut Cantzler, Robert Fisher)
Minimal Points (PDF Sec 11.4.8) (Bryan Morse)
Parabolic Points (PDF Sec 11.4.6) (Bryan Morse)
Ridge/Valley-like Structures (Antonio Lopez)
Ridges (PDF Sec 11.6.2) (Bryan Morse)
Umbilics (PDF Sec 11.4.7) (Bryan Morse)
Mean and Gaussian Curvature (Andrew Wallace and Sarah Price)
Cones (Silvio Levy and the University of Minnesota's Geometry Center)
Cylinders (Silvio Levy and the University of Minnesota's Geometry Center)
Spheres (Silvio Levy and the University of Minnesota's Geometry Center)
Planes (Silvio Levy and the University of Minnesota's Geometry Center)
Planes (PDF, Section A1.6, page 12) (Computer Vision, Dana Ballard and Christopher Brown)
Polyhedra (Silvio Levy and the University of Minnesota's Geometry Center)
Quadrics (Silvio Levy and the University of Minnesota's Geometry Center)
Surfaces of Revolution. The Torus (Silvio Levy and the University of Minnesota's Geometry Center)
Surface Normals and Tangent Planes (PDF Sec 11.1) (Bryan Morse)
Surface Orientation and Gradient Space (Andrew Wallace and Sarah Price)
Plane Symmetries or Isometries (Silvio Levy and the University of Minnesota's Geometry Center)
Space Symmetries or Isometries (Silvio Levy and the University of Minnesota's Geometry Center)
Symmetry Operation (Eric W. Weisstein)
A Treatise on the Aesthetics of Symmetry (Jeff Chapman)
The Four Types of Symmetry in the Plane (Susan Addington)
Symmetry Properties of Circular Motion (Paulo Ricardo dos Santos Mendonca)
Rotational Symmetries (Bjorn Johansson)
Shape distance for rotation estimation and rotational symmetry detection in gray-level images (S. Derrode, F. Ghorbel)
Rated Symmetry Examples (Jeff Chapman)
Symmetry tutorial (Indiana University)
Improper Rotation (Indiana University)
3D Moment Invariants (Bob Fisher)
3D - 3D Pose Estimation (Also applies to 2D pose estimation) (Andrew Wallace and Sarah Price)
Matlab code for 2D - 2D Pose Estimation (Bob Fisher)
Motion-Based Pose Tracking Method (Jong Weon Lee)
Pose estimation using the Hough Transform (Philipp Robbel)
Solving for Perspective Inversion (3 point case) (Andrew Wallace and Sarah Price)
Newton-Raphson Pose Determination(PDF, pg 1-4) (Bruce Draper and J. Ross Beveridge)
3D Human Pose Estimation using 2D-Data and an Alternative Phase Space Representation (Thomas B. Moeslund, Erik Granum)
Simultaneous Pose and Correspondence Estimation (Philip David, Daniel DeMenthon, Ramani Duraiswami)
Edge, line and surface based pose estimation (PDF, pg12) (Bodo Rosenhahn, Christian Perwass, Gerald Sommer)
Pose Estimation from a 3D Plane (PDF page 18) (Vincent Lepetit and Pascal Fua)
3D - 3D Pose Estimation (Andrew Wallace and Sarah Price)
Matlab code for 3D - 3D Pose Estimation (Bob Fisher)
Bundle Adjustment (Andrew Zisserman)
Refining structure and motion (Marc Pollefeys)
Bundle adjustment (Marc Pollefeys)
Algebraic vs geometric error (Andrea Fusiello)
Least squares estimation of 3D pose from 3D data (Andrew Wallace and Sarah Price)
Unambiguous Camera Pose Determination from at Least 4 Points (Long Quan)
An Introduction to the Kalman Filter (Greg Welch and Gary Bishop)
Kalman Filter Reference (Greg Welch and Gary Bishop)
Kalman Filtering (PDF page 27) (Vincent Lepetit and Pascal Fua)
Projective reconstruction (See Projective reconstruction) (Zhengyou Zhang)
Introduction to Probabilistic Neural Network Reasoning (Maria Petrou)
A Gentle Tutorial of the EM Algorithms and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models (Jeff A. Bilmes)
Gaussian Mixture Models (Yogesh Raja and Shaogang Gong)
PET - Positron Emission Tomography (How Stuff Works)
Model Building from 3D Surface Measurements (Adrian Hilton)
Space Carving (PDF File Section 7) (Charles Dyer, from "Foundations of Image Analysis", L. S. Davis (Ed), Kluwer, 2001.)
A Theory of Shape by Space Carving (Kiriakos Kutulakos)
Volumetric Scene Reconstruction from Multiple Views (PDF File) (Charles Dyer, from "Foundations of Image Analysis", L. S. Davis (Ed), Kluwer, 2001.)
Voxel Coloring (PDF File Section 6) (Charles Dyer, from "Foundations of Image Analysis", L. S. Davis (Ed), Kluwer, 2001.)
Classes of vision systems (James Crowley)
Active Control (PDF Sec 21.2.4) (Bryan Morse)
Non-hierarchical control (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Chapter 7. Expert/Knowledge-Based Systems (PDF Chapter 7)
Visual Attention (Yaoru Sun)
Chapter 9. Computational Vision (PDF Chapter 9 page 243)
Attentional Selection of Objects of Interest (Thomas Geerinck)
Spatiotemporal Attentional Selection of Active Salient Objects (Thomas Geerinck)
Hybrid Hierarchical Control (PDF Sec 21.2.3) (Bryan Morse)
Combined control strategies (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Hierarchical and Heterarchical Control (PDF, Section 10.4.2, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
Hierarchical control (Yaoru Sun)
Hierarchical control (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Hierarchical and Heterarchical Control (PDF, Section 10.4.2, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
Bottom-Up Control (PDF Sec 21.2.1) (Bryan Morse)
Bottom-up control strategies (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Top-Down Control (PDF Sec 21.2.2) (Bryan Morse)
Model-based control strategies (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Parallel and serial processing control (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Parallel and serial processing control (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Parallel and Serial Computation (PDF, Section 10.4.1, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
Sequential or Parallel Mechanisms (PDF, A2.3, page 4) (Computer Vision, Dana Ballard and Christopher Brown)
Parallel Architecture for Fast 3-D Machine Vision (PDF chapter 9) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
A Multiprocessor 3D Vision System for Pick and Place (PDF Chapter 10) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Parallel and serial processing control (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Inherently Sequential Mechanisms (PDF, A2.2, page 3) (Computer Vision, Dana Ballard and Christopher Brown)
Sequential or Parallel Mechanisms (PDF, A2.3, page 4) (Computer Vision, Dana Ballard and Christopher Brown)
A Pipelined Architecture for the Canny Edge Detector (PDF chapter 8) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
3D Model Human Motion Analysis (Ioannis Havoutis)
General Review of Control Issues in Visual Interpretation and Understanding (Hilary Buxton, Bernd Neumann and ECVNet)
Image understanding control strategies (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Evolvable, biologically plausible visual architectures (PDF) (Aaron Sloman)
Control Issues in Complex Vision Systems (PDF, Section 10.4, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Advanced Control Mechanisms (PDF) (Computer Vision, Dana Ballard and Christopher Brown)
Representations and information processing; Organization of visual processes (PDF, Sections 9.1-2, pages 1-3) (Machine Vision; David Vernon)
BBLimage
FPimage
FreeImage - Open Source Image library for Windows/Linux
GIMP
The HIPS Image Processing System
ImageMagick TAG233
Open Source Computer Vision Library
Image Processing Library
Brief overview of the Image Understanding Environment (Adrian Clark)
Gandalf: computer vision and numerical algorithm library
Lead Technologies
Khoros (Adrian Clark)
Khoros now called VisiQuest 3.5 (AccuSoft Corporation)
MST Image
Popular Software Packages (Adrian Clark)
http://www.libpng.org
Markov Random Field Models of Segmentation (Andrew Blake)
http://www.libtiff.org
VideoOCX (Marvelsoft)
System Design and Control (Henrik Christensen, Thierry Vieville and ECVNet)
Tie Point Correction of Geometric Distortion (Robyn Owens)
Common sources of blurring and noise (Todd Veldhuizen)
The point-spread function (PSF) model of blurring (Todd Veldhuizen)
Noise models (Todd Veldhuizen)
Additive noise is primarily a local process (Todd Veldhuizen)
Point Spread Function of an Optical System (Gordon Robertson)
Point and Line Spread Functions (Pete Kaiser)
Modulation Transfer Function (Pete Kaiser)
Deviations from the camera model (Marc Pollefeys)
Lens Distortion Correction (PDF page 9) (Vincent Lepetit and Pascal Fua)
Calibration of one camera from the known scene (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Deviations from the camera model (Marc Pollefeys)
Spherical Distortion (PDF, pg5-6) (Bruce Draper and J. Ross Beveridge)
Radial distortion (Andrea Fusiello)
Underwater Camera Calibration (Jean-Marc Lavest, Gerard Rives, and Jean-Thierry Lapreste)
Camera Calibration Toolbox for Matlab (Jean-Yves Bouguet)
Faugeras method (Robyn Owens)
Camera Calibration (Andrew Zisserman)
Unambiguous Camera Pose Determination from at Least 4 Points (Long Quan)
An overview of single camera calibration (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Calibration of one camera from the known scene (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Survey of calibration using a calibration object (Marc Pollefeys)
Geometric Transformations (PDF, Section A1.8, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
The camera model and the inverse percpective transformation (PDF, Section 8.6, pages 21-24) (Machine Vision; David Vernon)
Autocalibration in the presence of critical motions (David Demirdjian, Gabriella Csurka, Radu Horaud)
Pinhole, Epipolar and Fundamental Matrix models (see Epipolar Geometry) (Zhengyou Zhang)
Pinhole Camera Model (Robyn Owens)
Pinhole camera model (Imad Zoghlami)
Tsai's Camera Model (Reg Willson)
The pinhole camera model (Marc Pollefeys)
Pinhole and Thin Lens Camera Models (PDF) (Bruce Draper and J. Ross Beveridge)
Intrinsic and extrinsic camera parameterization (PS file. See pg 19 / section 4.3) (Philip Torr)
Perspective Projection Model (PDF page 6) (Vincent Lepetit and Pascal Fua)
Camera Calibration Matrix (PDF page 7) (Vincent Lepetit and Pascal Fua)
External Camera Calibration Matrix (PDF page 8) (Vincent Lepetit and Pascal Fua)
Pin-hole Camera Geometry (Andrea Fusiello)
Self Calibration (Roger Mohr and Bill Triggs)
Self-Calibration (PS file. See pg 49 / Chapter 7) (Philip Torr)
Camera Self-Calibration (Paulo Ricardo dos Santos Mendonca)
Tsai Camera Calibration (Paulo Dias)
Self-calibration/Uncalibrated stereo (Robyn Owens)
Autocalibration (Andrea Fusiello)
Stratification (Andrea Fusiello)
Camera Calibration Toolbox for Matlab (Jean-Yves Bouguet)
Java demo for stereo calibration (Zhengyou Zhang)
Stereo camera calibration (Neil Thacker and Tim Cootes)
Camera calibration (or resection) (Andrea Fusiello)
Practical calibration (Andrea Fusiello)
Non-Rigid Alignment (PDF) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
Softassign surface matching (PDF slides 13-18) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
A Tutorial on Adaptive Visual Servoing (Martin Jagersand)
Modeling and Calibration of Automated Zoom Lenses (Reg Willson)
Zoom-lens Camera Calibration (Moumen Ahmed and Aly Farag)
Remote sensing for forestry applications (Tomas Brandtberg)
Demo of plant species identification (using leaves) by contour analysis (Farzin Mokhtarian)
Visual Inspection of Lumber (Hannu Kauppinen)
Defect inspection of wood surfaces (PDF) (Cem Unsalan)
Experiments with SOM based inspection of wood (PDF) (M. Niskanen, O. Silven, H. Kauppinen)
Characterization of Wood Features Using Color, Shape, and Density Parameters (Brian Bond)
Automatic Classification of Lumber (Institute of Digital Image Processing, Joanneum Research)
Machine Vision Technology the Forest for Products Industry (PDF) (R.W. Conners, D.E. Kline, P.A. Araman, T.H. Drayer)
Development of a color machine vision method for wood surface inspection (PDF) (Hannu Kauppinen)
Analysis of 3-D Hardwood Log Surface Data Using Robust Estimation and Filtering Methods (Liya Thomas)
Automation for primary processing of hardwoods (PDF) (D. L. Schmoldt)
A Computer Vision System for Analyzing Images of Rough Hardwood Lumber(PDF) (Cho Tai-Hoon et al)
A Simple Machine Vision System for Improving the Edging and Trimming Operations Performed in Hardwood Sawmills (PDF) (Zhiquan Frank Qui)
Size control of sawn timber by optical means in breakdown saw machines (PDF) (Jaakko Vuorilehto)
Machine Vision Systems for Processing Hardwood Lumber and Logs (PDF) (P.A. Araman et al)
Scanning Hardwood Lumber for Processing and Grading? (PDF) (D. E. Kline et al)
Virtualizing archaeological sites (Marc Pollefeys)
Reconstruction hypothesis testing (Marc Pollefeys)
Acquisition of 3D models from pre-existing image sequences (Marc Pollefeys)
3D stratigraphy (Marc Pollefeys)
Architecture and heritage conservation (Marc Pollefeys)
Virtual Building Model Construction From Real Images (Jorge Luis Reyes Ortiz)
Virtualizing archaeological sites (Marc Pollefeys)
A Jain Temple in Ranakpur (Marc Pollefeys)
The Beguinages of Leuven (Marc Pollefeys)
Character Recognition by Feature Point Extraction (Eric W. Brown)
Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification (Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger)
Architectural Floor Plan Analysis (Josep Lladós, Enric Martí and Jaime López-Krahe)
An approach to document mosaicing (Andrew Gee)
Computer Vision in Postal Automation (Giovani Garibotto and ECVNet)
Handwriting Verification Database and Links Summary (The Biometric Consortium)
Watermarking of Video and Multimedia Data (Frank Hartung)
DIGITAL WATERMARKING (AlpVision)
Augmented reality (Marc Pollefeys)
Review of registration (Marc Pollefeys)
Fingerprint Database and Links Summary (The Biometric Consortium)
The FBI Fingerprint Image Compression Standard (Chris Brislawn)
Biometrics Database and Links Summary (The Biometric Consortium)
Semantic Video Interpretation Framework (Thomas Geerinck)
Realistic models of individual people (Adrian Hilton and Thomas Gentils)
Pedestrian tracking (Joachim Denzler)
Human Motion Understanding - A Model-Directed Approach (PDF, Section 7.3.4, page 11) (Computer Vision, Dana Ballard and Christopher Brown)
Survey on human motion analysis (Dariu Gavrila) (See also video demonstrations)
Overview of Gesture Recognition (Charles Cohen)
An (incomplete) gesture recognition review (Fabio Cuzzolin)
Visual Sign and Gesture Recognition (Richard Bowden, Timor Kadir, David Windridge, Eng-Jon Ong, Antonio Micilotta, Andrew Zisserman, Michael Brady)
View-based hand sign recognition from intensity image sequences (Yuntao Cui and John Weng)
Overview of Gesture Recognition (Charles Cohen)
Visual Sign and Gesture Recognition (Richard Bowden, Timor Kadir, David Windridge, Eng-Jon Ong, Antonio Micilotta, Andrew Zisserman, Michael Brady)
Watching Hands: Gesture as an Input Device (James L. Crowley and Joelle Coutaz)
Hands Tracking (Jamie Sherrah, Shaogang Gong)
Overview of Human Face Processing (British Machine Vision Association and Society for Pattern Recognition)
Face Database summary (The Biometric Consortium)
Face Analysis Links (UCSC Perceptual Science Laboratory)
Face detection, recognition and analysis (P.Radeva, A.Martinez, J.Vitri1)
Identifying the face by EigenSpace decomposition (James L. Crowley and Joelle Coutaz)
Optimal Basis Encoding (Chengjun Liu and Harry Wechsler)
Real-Time Face Registration and Verification (K. Jonsson, J. Matas, J. Kittler and S. Haberl)
The Face Recognition Home Page (Mislav Grgic, Kresimir Delac)
Dynamic Face Recognition Using Identity Surfaces (Yongmin Li, ShaogangGong, Heather Liddell)
The Face Detection Home Page (Robert Frischholz)
Faces: Detecting, Tracking, and Watching the User (James L. Crowley and Joelle Coutaz)
Watershed transform segmentation of a face (Desok Kim)
Face Detection and Face Recognition (Oleksandr Kazakov)
Gaze direction determination (Jian-Gang Wang and Eric Sung)
An example of spline-based lip tracking (George Matas)
Skin Colour Analysis (Jamie Sherrah and Shaogang Gong)
Iterative Image Reconstruction (PDF section 9) (Hierarchical neural networks for image interpretation, S. Behnke)
Image restoration (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Overview of Visual Industrial Inspection (British Machine Vision Association and Society for Pattern Recognition)
Using Viewer Centered Representations for Sensor Planning (Andrew Wallace and Sarah Price)
Industrial Vision Applications Sectors (Don Braggins and ECVNet)
Shape Measurement and Defect Detection (Dmitry Chetverikov, Yuri Khenokh and Judit Verestoy)
Demo of appearance-based part inspection (Shree Nayar and the Columbia Automated Vision Environment)
Particle Segmentation with the Marker-Based Watershed Transform (Serge Beucher)
Machine Vision in the Electronics and PCB Inspection Industry (David Vernon and ECVNet)
Demo of appearance-based part inspection (Shree Nayar and the Columbia Automated Vision Environment)
Machine Vision for Textiles (Jonathan G Campbell)
Industrial Vision Applications Sectors (Don Braggins and ECVNet)
Industrial Vision Applications Sectors (Don Braggins and ECVNet)
Demo of real-time robot positioning (Shree Nayar and the Columbia Automated Vision Environment)
Reconstructing representations for real world scenes (Anastasios Manessis)
Structure from motion (Anastasios Manessis)
Reconstruction using active sensors (Anastasios Manessis)
Processing Range Data for Reverse Engineering and Virtual Reality (PDF) (S. Karbacher et al)
3D Scanner Technology Review (Jerry Isdale)
Virtual reality modeling from a sequence of range images (PDF) (H. Shum et al)
3D Model Construction Using Range and Image Data (PDF) (I. Stamos et al)
Virtual Reality and Laser Scanning Applications (PDF) (E. Jaselskis et al)
Applying knowledge to reverse engineering problems (Robert B. Fisher)
Single view reconstruction (Anastasios Manessis)
Modelling from sparse data (Anastasios Manessis)
Computer vision technology in the broadcast and entertainment industries (Patrick Courtney and ECVNet)
Overview of Processing Medical Images (British Machine Vision Association and Society for Pattern Recognition)
Link to free software for remote medical image visualization
Multimodal Image Registration of Retinal Images (Frederic Zana)
Cell Nucleus Segmentation (Pascal Bamford and Brian Lovell)
Image Analysis in Molecular Cytogenetics (Desok Kim)
An image guided decision support tool for lymphoma analysis (Dorin Comaniciu)
Survey of Medical Image Registration (PDF) (J. B. Antoine Maintz and Max Viergever)
Watershed transform segmentation of right ventricle (Desok Kim)
Tutorial on cardiac tracking in echocardiac sequences (Gary Jacob)
Overview of Autonomous Vehicles (British Machine Vision Association and Society for Pattern Recognition)
Mathematical Foundations of Navigation and Perception for an Autonomous Mobile Robot (PS) (Jim Crowley)
Computational Vision (PDF - (CogNet Access Req.) Chapter 11) (Computational Vision, H.A. Mallot, J.S. Allen)
An overview of visually guided docking (Nick Barnes)
Example of robot navigation using a neural net (page 4) (David Hogg)
Computational Vision (PDF - (CogNet Access Req.) Part 11.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Open-Source C++ Software for Simultaneous Localisation and Map-Building (Andrew Davison)
Compressive Sensing Resources (Rice University)
Compressed Sensing @ IDCoM (School of Engineering and Electronics, Edinburgh University)
Color-based road following (Shashi Buluswar)
Computer Vision in Earth Observation (G. G. Wilkinson and ECVNet)
Overview of Remote Sensing (British Machine Vision Association and Society for Pattern Recognition)
The Satellite Imagery FAQ (Nick Kew)
Building feature extraction and topological representation (Claudia Fuchs)
Building Detection in Aerial Images (Morten Bro-Nielsen)
About Imaging Spectroscopy (U.S. Geological Survey)
The Use of Radar Remote Sensing for Identifying Environmental Factors Associated with Malaria Risk in Coastal Kenya (PDF) (S. Kaya, T.J. Pultz, C.M. Mbogo, J.C. Beier, E. Mushinzimana)
Tutorial on road extraction from aerial imagery (Helmut Mayer, Albert Baumgartner, Carsten Steger)
Example of road network matching (Bill Christmas)
About Imaging Spectroscopy (U.S. Geological Survey)
Particle Segmentation with the Marker-Based Watershed Transform (Serge Beucher)
Survey on surveillance based on human motion analysis (Dariu Gavrila)
Overview of Visual Surveillance (British Machine Vision Association and Society for Pattern Recognition)
Overview of Transport (British Machine Vision Association and Society for Pattern Recognition)
Accurate and Model-Free Pose Estimation of Small Objects for Crash Video Analysis (PDF) (Stefan K. Gehrig, Hernan Badino and Pascal Paysan)
Computer Vision for Support of Road Vehicle Drivers (H.-H. Nagel and ECVNet)
Maritime Scene Segmentation (Petr Voles, Martin Teal)
Vehicle Segmentation with the Marker-Based Watershed Transform (Serge Beucher)
Detection of red light running
A paper on Licence Plate Recognition (Sorin Draghici)
Image-Based Rendering of Environments (Anthony Ashbrook)
Main Approaches in Realistic Virtual View Synthesis (Salvatore Livatino)
Planar and Cylindrical Mosaicing (Imad Zoghlami)
An introduction to image mosaicing (Sevket Gumustekin)
Image Registration and Mosaicing Example (Weiyang (Will) Zhou)
Automatic Panoramic Image Merging Example (Paul Haeberli and Eyal Ofek)
Summary of panorama building tools (Helmut Dersch)
Image Alignment and Stitching: A Tutorial (Richard Szeliski)
A Simple Approach to Binary Object Recognition (Andrew Fitzgibbon)
Recognition using geometric invariants (Robyn Owens)
Pattern recognition methods in image understanding (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Decision-theoretic approaches (PDF, Section 6.3, pages 3-7) (Machine Vision; David Vernon)
ICCV2005 tutorial on Recognizing and Learning Object Categories (PPT) (Li Fei-Fei (UIUC), Rob Fergus (Oxford-MIT), Antonio Torralba (MIT))
Introduction to Bayesian Reasoning (Maria Petrou)
Classification (PDF, Section 6.3.3, pages 4-7) (Machine Vision; David Vernon)
Chapter 4. Reasoning and Problem Solving (PDF Chapter 4 page 98-100)
Contextual image classification (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Statistical Classifiers and Decision Trees (Andrew Fitzgibbon)
Chapter 3. The Representation of Knowledge (PDF Chapter 3 page 71)
Introduction to Fuzzy Reasoning (Maria Petrou)
Edge, line and surface based pose estimation (PDF, pg12) (Bodo Rosenhahn, Christian Perwass, Gerald Sommer)
Visual Interpretation and Understanding (Hilary Buxton, Bernd Neumann and ECVNet)
Computer Reasoning (PDF, Section 12.2, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
General recognition issues (Robyn Owens)
Geometric Matching (PDF, pg 2) (Bruce Draper and J. Ross Beveridge)
Matching (PDF, Section 11, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
General shape representation and matching tutorial (PDF) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
Consistency Maintenance in the REVgraph Environment (PDF chapter 19) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Matching Geometrical Descriptions in Three-Space (PDF Chapter 28) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Interpretation Tree Search (Andrew Wallace and Sarah Price)
Tree search methods (Dave Marshall)
An example running in Java (Andrew Fitzgibbon)
Searching interpretation trees (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Interpretation Tree Search (PDF, pg 1-3) (Bruce Draper and J. Ross Beveridge)
branch and Bound Search (PDF, pg 3) (Bruce Draper and J. Ross Beveridge)
Consistency Maintenance in the REVgraph Environment (PDF chapter 19 PWFC section) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
View-Based Object Recognition (Yang, Roth, Ahuja)
Demo of reflectance based object recognition (Shree Nayar and the Columbia Automated Vision Environment)
Demo of parametric eigen-space based recognition (Shree Nayar and the Columbia Automated Vision Environment)
Image matching with points of interest (Philippe Montesinos and Valerie Gouet)
Automatic Selection of Optimal Views in Multi-View Object Recognition (Farzin Mokhtarian)
Matching Iconic, Geometric, and Relational Structures (PDF, Section 11.1.2, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
Object Recognition (PDF) (Cordelia Schmid)
Recognition and matching based on local invariant features (PDF) (Cordelia Schmid)
Probabilisitic models of visual object categories (Andrew Zisserman)
Chapter 9. Computational Vision (PDF Chapter 9 page 276-277)
Dense Image Registration through MRFs and Efficient Linear Programming (Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab)
Correspondences by Sensitivity to Movement (Elizabeth Guest)
Flexible Templates (PDF Sec 20.1.3) (Bryan Morse)
Recognizing Flexible Objects (Pedro F. Felzenszwalb, Daniel P. Huttenlocher)
Template Matching Techniques in Computer Vision (Roberto Brunelli)
Example of geometric hashing recognition using a neural net (Page 8) (David Hogg)
Geometric Hashing (PDF, pg 2-3) (Bruce Draper and J. Ross Beveridge)
Graph matching (Andrew Wallace and Sarah Price)
Graph searching introduction (Dave Marshall)
Graph-Theoretical Algorithms (PDF, Sectin 11.2, page 4) (Computer Vision, Dana Ballard and Christopher Brown)
Implementing Graph-Theoretical Algorithms (PDF, Section 11.3, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Many-to-Many Feature Matching Using Spherical Coding of Directed Graphs (M. Fatih Demirci, Ali Shokoufandeh, Sven Dickinson, Yakov Keselman,Lars Bretzner)
The Iterative Closest Point Algorithm (Bob Fisher)
ICP and variants (PDF, frames 9-65) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
Hierarchical and other variants of ICP (PDF) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
Model based recognition (Robyn Owens)
Model-based vision (Ramani Pichumani)
Limitations of non model-based recognition (Ramani Pichumani)
Deducing Object Position (Bob Fisher)
Direct Evidence Collection (Bob Fisher)
Feature Visibility Analysis (Bob Fisher)
Silhouette-based object recognition with occlusion (Farzin Mokhtarian)
RANSAC: Random Sample Consensus (Bob Fisher)
RANSAC (PS file. See pg 40 / Section 5.2) (Philip Torr)
RANSAC overview (PDF) (Helmut Cantzler)
RANSAC overview (PDF, frame 55) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
RANSAC (PDF page 25) (Vincent Lepetit and Pascal Fua)
RANSAC (Andrea Fusiello)
Real-time Fire and Flame Detection in Video (short summary) (B. Ugur Toreyin, Yigithan Dedeoglu, Ugur Gudukbay, A. Enis Cetin)
Computer Vision Based Method for Real-time Fire and Flame Detection (B. Ugur Toreyin, Yigithan Dedeoglu, Ugur Gudukbay, A. Enis Cetin)
Convolution as template matching (David Young)
Real-Time Face Registration and Verification (K. Jonsson, J. Matas, J. Kittler and S. Haberl)
2D Pattern Identification using Cross Correlation (Paul Bourke)
Template Matching (PDF Sec 20.1) (Bryan Morse)
Template Matching (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Intensity cross-correlation (Marc Pollefeys)
JAVA demo of template matching (EPFL Biomedical Imaging Group)
Correlation and Image Matching (PDF, pg 1-4) (Bruce Draper and J. Ross Beveridge)
Fourier Matching 1 (PDF, pg 1-3) (Bruce Draper and J. Ross Beveridge)
Fourier Matching 2 (PDF, pg 1-2) (Bruce Draper and J. Ross Beveridge)
Template Matching (PDF, Section 3.2.1 page 3) (Computer Vision, Dana Ballard and Christopher Brown)
Template matching (PDF, Section 6.2, pages 1-3) (Machine Vision; David Vernon)
Template matching [for edge detection] (PDF, Section 5.3.2, pages 8-10) (Machine Vision; David Vernon)
Template Matching Techniques in Computer Vision (Roberto Brunelli)
Verifying the Solution (Andrew Wallace and Sarah Price)
Comparing image regions (Marc Pollefeys)
Point correlation matching (PS file. See pg 10 / Chapter 3) (Philip Torr)
Birchfield and Tomasi point correlation matching (PS file. See pg 12 / Section 3.2) (Philip Torr)
Review of contour matching (Yoram Gdalyahu and Daphna Weinshall)
Temple University Shape Similarity Project (Rolf Lakaemper and Longin J. Latecki)
Curve matching (PDF, pg15) (Bodo Rosenhahn, Christian Perwass, Gerald Sommer)
WPFM: The Workspace Prediction and Fast Matching System (PDF Chapter 25 section 6.2 and 6.3) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Recognizing Objects From Appearance Flows (Tal Arbel, Frank P. Ferrie, and Marcel Mitran)
Simple Object Recognition Using Shape-from-Shading (Philip Worthington, Benoit Huet and Edwin Hancock)
Matching using affinely invariant regions (Marc Pollefeys)
Surface matching using geodesic distances (Etienne Huot, Yahia Hussein, Isabelle Herlin, I. Cohen)
Surface Based Object Recognition (Bob Fisher)
Object Recognition from Surface Information (Bob Fisher)
Why Use Surfaces for Recognition? (Bob Fisher)
Model Matching (Bob Fisher)
Texture classification (Ojala and Pietikainen)
Tutorial on Bayesian and Fuzzy Reasoning (Maria Petrou)
Neural Networks in Computer Vision (Colorado State University)
Neural Network-Based Face Detection (Robotics Institute, Carnegie Mellon University)
Neural Abstraction Pyramid Architecture (PDF section 4) (Hierarchical neural networks for image interpretation, S. Behnke)
Neural Networks (PDF section 6.2 and 6.3) (Hierarchical neural networks for image interpretation, S. Behnke)
Information Theory, Inference, and Learning Algorithms (PDF Part V) (Information Theory, Inference, and Learning Algorithms, D. Mackay)
Computational Vision (PDF - (CogNet Access Req.) Part 6.4) (Computational Vision, H.A. Mallot, J.S. Allen)
Numerical Digit Character Recognition (PDF) (Timothy S. Stirling)
Chapter 5. Learning (PDF Chapter 5 page 138-140)
Introduction to Fuzzy Reasoning (Maria Petrou)
Fuzzy sets and possibility theory (PDF Sec 4) (Isabelle Bloch)
Fuzzy sets for image processing and analysis (PDF Sec 3,5) (Isabelle Bloch)
Introduction to Bayesian Reasoning (Maria Petrou)
Computer Vision Homepage list of test image databases (Carnegie Mellon Univ)
PEIPA Image Database Summary (Pilot European Image Processing Archive)
2.5D/3D Datasets of various objects and scenes (Ajmal Mian)
3D mesh watermarking benchmark dataset (Guillaume Lavoue)
Aerial color image dataset (Swiss Federal Institute of Technology)
Amsterdam Library of Object Images (ALOI): 100K views of 1K objects (University of Amsterdam/Intelligent Sensory Information Systems)
Berkeley Segmentation Dataset and Benchmark (David Martin and Charless Fowlkes)
BioID face database (BioID group)
Caltech 101 (now 256) category object recognition database (Li Fei-Fei, Marco Andreeto, Marc'Aurelio Ranzato)
Caltech Pedestrian Dataset (P. Dollar, C. Wojek, B. Schiele and P. Perona)
Cambridge Motion-based Segmentation and Recognition Dataset (Brostow, Shotton, Fauqueur, Cipolla)
Cambridge Systematics/FHWA Traffic Datasets (Cambridge Systematics)
CANTATA Video and Image Database Index site (Multitel)
CAVIAR project video sequences with tracking and behavior ground truth (CAVIAR team/Edinburgh University - EC project IST-2001-37540)
Chars74K dataset - 74 English and Kannada characters (Teo de Campos - t.decampos@surrey.ac.uk)
CMU Pose, Illumination, and Expression (PIE) Database (Simon Baker)
CMU Facial Expression Database (CMU/MIT)
CMU/MIT Frontal Faces (CMU/MIT)
CMU/MIT Frontal Faces (CMU/MIT)
CMU - VIVID PETS 2005 Dataset (CMU Robotics Institute)
Columbia COIL-100 3D object multiple views (Columbia University)
Commonly used test images (Marco Schmidt)
Columbia-Utrecht Reflectance and Texture Database (Columbia & Utrecht Universities)
Corel Stock Photo Library (AbleStock.Com)
CVBASE06: annotated sports videos (Janez Pers)
Daimler Pedestrian Detection Benchmark - 21790 images with 56492 pedestrians plus empty scenes (M. Enzweiler, D. M. Gavrila)
Densely sampled object views: 2500 views of 2 objects, eg for view-based recognition and modeling (Gabriele Peters, Universiteit Dortmund)
DIADEM: Digital Reconstruction of Axonal and Dendritic Morphology Competition (Allen Institute for Brain Science et al)
DynTex: Dynamic texture database (Renaud Piteri, Mark Huiskes and Sandor Fazekas)
ETISEO Video Surveillance Download Datasets (INRIA Orion Team and others)
Face video sequences (295): The extended M2VTS Database (XM2VTS) - (Surrey University)
Face Recognition Grand Challenge datasets (FRVT - Face Recognition Vendor Test)
Facial Recognition Technology (FERET) Database (USA National Institute of Standards and Technology)
Geometric Context - scene interpretation images (Derek Hoiem)
GRAZ-02 Database (Bikes, cars, people) (A. Pinz)
Hand gesture and marine silhouettes (Euripides G.M. Petrakis)
Human Actions and Scenes Dataset (Marcin Marszalek, Ivan Laptev, Cordelia Schmid)
Hyperspectral images of natural scenes - 2002 (David H. Foster)
Hyperspectral images of natural scenes - 2004 (David H. Foster)
IAPR TC-12 Image Benchmark (Michael Grubinger)
IAPR-TC12 Segmented and annotated image benchmark (SAIAPR TC-12): (Hugo Jair Escalante)
Japanese Female Facial Expression (JAFFE) Database (Michael J. Lyons)
HIPR2 Image Catalogue of different types of images (Bob Fisher et al)
i-LIDS video event image dataset (Imagery library for intelligent detection systems) (Paul Hosner)
ImageNet Linguistically organised (WordNet) Hierarchical Image Database - 10E7 images, 15K categories (Li Fei-Fei, Jia Deng, Hao Su, Kai Li)
ISMAR09 ground truth video dataset for template-based (i.e. planar) tracking algorithms (Sebastian Lieberknecht)
KTH human action recognition database (KTH CVAP lab)
LabelMe images database and online annotation tool (Bryan Russell, Antonio Torralba, Kevin Murphy, William Freeman)
Linkoping 3D Object Pose Estimation Database (Fredrik Viksten and Per-Erik Forssen)
Lotus Hill Image Database Collection with Ground Truth (Sealeen Ren, Benjamin Yao, Michael Yang)
Middlebury College stereo vision research datasets (Daniel Scharstein and Richard Szeliski)
MiniMammographic Database (Mammographic Image Analysis Society)
MIT Collation of Face Databases (Ethan Meyers)
MIT CBCL StreetScenes Challenge Framework: (Stan Bileschi)
Multi-camera Wide-Area Activities Dataset (Amit K. Roy-Chowdhury)
Multiview stereo images with laser based groundtruth (ESAT-PSI/VISICS,FGAN-FOM,EPFL/IC/ISIM/CVLab)
NEC Toy animal object recognition or categorization database (Hossein Mobahi)
NIST fingerprint databases (USA National Institute of Standards and Technology)
NIST mugshot identification database (USA National Institute of Standards and Technology)
NIST OCR machine and hand-printed databases (USA National Institute of Standards and Technology)
NIST TREC Video Retrieval Evaluation Database (USA National Institute of Standards and Technology)
NORB 50 toy image database (NYU)
Notre Dame Iris Image Dataset (Patrick J. Flynn)
NRCS natural resource/agricultural image database (USDA Natural Resources Conservation Service)
Occlusion detection test data (Andrew Stein)
Ohio State Range, Still and Motion database (Ohio State SAMPL)
OTCBVS Thermal Imagery Benchmark Dataset Collection (Ohio State Team)
ORL face database: 40 people with 10 views (ATT Cambridge Labs)
Oulu Texture Database (Oulu University)
Oxford: faces, flowers, multi-view, buildings, object categories, motion segmentation, affine covariant regions, misc (Oxford Visual Geometry Group)
PASCAL Image Database (motorbikes, cars, cows) (PASCAL Consortium)
PASCAL 2007 Challange Image Database (motorbikes, cars, cows) (PASCAL Consortium)
PASCAL 2008 Challange Image Database (PASCAL Consortium)
PASCAL 2009 Challange Image Database (PASCAL Consortium)
PETS: Performance Evaluation of Tracking and Surveillance (Reading University & James Ferryman)
Winter-PETS 2009 workshop data (Reading University & James Ferryman)
PETS 2009 Crowd Challange dataset (Reading University & James Ferryman)
Princeton Shape Benchmark (Princeton Shape Retrieval and Analysis Group)
Range and Intensity video sequences (IMM Lecce, Signal and Image Processing Lab)
RAWSEEDS SLAM benchmark datasets (Rawseeds Project)
RGB segmented and hand-labeled images of outdoor scenes from BAe Sowerby Labs database (Francesco Vivarelli)
ROMA (ROad MArkings) : Image database for the evaluation of road markings extraction algorithms (Jean-Philippe Tarel, et al)
Small Engineering Part Database (bolts, nuts, washers) (Gengis Kanhg Toledo Ramirez)
SPD2010 Fingerprint Singular Points Detection Competition (SPD 2010 committee)
SPEVI: Surveillance Performance EValuation Initiative (Queen Mary University London)
TUM Kitchen Data Set of Everyday Manipulation Activities (Moritz Tenorth, Jan Bandouch)
UIUC Car Image Database (UIUC)
UIUC Dataset of 3D object categories (S. Savarese and L. Fei-Fei)
USC-SIPI image database (USC Signal and Image Processing Institute)
Univ of South Florida - Crowd Dataset (Saad Ali)
Univ of South Florida - Crowd Flow Segmentation datasets (Saad Ali)
Univ of South Florida - DDSM: Digital Database for Screening Mammography (Univ of South Florida)
Univ of South Florida - Feature Films Action Dataset (Univ of South Florida)
Univ of South Florida - Sports Action Dataset (Univ of South Florida)
Videoweb (multicamera) Activities Dataset (B. Bhanu, G. Denina, C. Ding, A. Ivers, A. Kamal, C. Ravishankar, A. Roy-Chowdhury, B. Varda)
ViHASi: Virtual Human Action Silhouette Data (userID: VIHASI password: virtual$virtual) (Hossein Ragheb, Kingston University)
Vision Texture (MIT Media Lab)
Color texture images by category (textures.forrest.cz)
Yale Face Database - 11 expressions of 10 people (A. Georghaides)
Yale Face Database B - 576 viewing conditions of 10 people (A. Georghaides)
Color indexing (Shashi Buluswar)
Colour-based Image Retrieval and Object Recognition using Multimodal Neighbourhood Signatures (Dimitri Koubaroulis, George Matas, Josef Kittler)
Demo of combined color and texture indexing (Kieron Messer)
Iconic Search Image Database System (Univ of Surrey/VSSP)
Colour-based Image Retrieval and Object Recognition using Multimodal Neighbourhood Signatures (Dimitri Koubaroulis, George Matas, Josef Kittler)
K-SPACE project reports on Multimedia content analysis (K-Space Project)
Content-based image retrieval evaluation (Nikhil Shirahatti, Kobus Barnard)
Fast Multiresolution Image Querying using user sketches (Chuck Jacobs, Adam Finkelstein, David Salesin)
Curvature Scale Space and Database Indexing (Farzin Mokhtarian)
Demo of combined color and texture indexing (Kieron Messer)
Marr's theory: From primal sketch to 3-D models (Herman Gomes)
Marr's theory (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Visual representations (PDF, Section 9.3, pages 3-10) (Machine Vision; David Vernon)
Overview of SUCCESSOR (Ramani Pichumani)
VaMoRs (Universität der Bunderwehr München's autonomous road vehicle)
Comparison of line segmentation algorithms (Paul Rosin)
Polygonal Approximation: merging methods (PDF Sec 7.5.1) (Bryan Morse)
Points of Extreme Curvature (PDF Sec 7.6.7) (Bryan Morse)
Detection of High Curvature Points in Planar Curves (Dmitry Chetverikov and Zsolt Szabo)
Multi-Scale Contour Segmentation (Farzin Mokhtarian)
Polygonal Approximation: splitting methods (PDF Sec 7.5.2) (Bryan Morse)
Connected Components (Robyn Owens)
Ad Oculus example of connected component labelling of isolated capacitors (Desok Kim)
Tutorial and JAVA demo on the connected component labelling operator (The HIPR2 team)
Region identification (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Corner detection (Wikipedia)
Interest point detection (Wikipedia)
Two Dimensional Point Features (Stephen Smith)
Corner detection and blob detection (Tony Lindeberg)
Corners and Isophote Curvature (PDF Sec 11.6.1) (Bryan Morse)
Corners (Tomasi formalization) (PDF, pg 1-2) (Bruce Draper and J. Ross Beveridge)
Interest Point Detection (PDF page 55) (Vincent Lepetit and Pascal Fua)
Evaluation and comparison of interest points/regions (PDF) (Cordelia Schmid)
Recognition and matching based on local invariant features (PDF) (Cordelia Schmid)
Image Corner Detection through Curvature Scale Space (Farzin Mokhtarian)
Scale invariant interest points/regions (PDF) (Cordelia Schmid)
Affine invariant interest points/regions (PDF) (Cordelia Schmid)
Harris color points of interest (Philippe Montesinos and Valerie Gouet)
Harris corner detector (Marc Pollefeys)
Harris corner detector (PS File - see pg 7 / Chapter 2) (Philip Torr)
Correction for Harris/Plessey Operator (Bob Fisher)
The Harris corner detector (Konstantinos G. Derpanis)
SUSAN Low Level Image Processing (and Corner Finding) (Stephen Smith)
The Susan Principle (unknown)
Fitting straight lines (Neil Thacker and Tim Cootes)
Fitting general curves (Neil Thacker and Tim Cootes)
Least square fitting of planar circles (Bob Fisher)
Least square fitting of 3D circles (Bob Fisher)
Direct least square fitting of ellipses (Andrew Fitzgibbon and Maurizio Pilu)
Demo and pointers to direct least square fitting of ellipses (Maurizio Pilu and Andrew Fitzgibbon)
Edge detection (Wikipedia)
Origins of Edges (Andrew Wallace and Sarah Price)
Gradient edge detector overview (Andrew Wallace and Sarah Price)
Smoothing and edge enhancement by convolution (Andrew Wallace and Sarah Price)
Motivations for edge detection (Dave Marshall)
Overview of generic edge detection (Dave Marshall)
Edges and edge detectors (Robyn Owens)
Feature detection via phase congruency (Robyn Owens)
First Derivative and Gradient Filters (Young, Gerbrands and van Vliet)
Edge finding (Young, Gerbrands and van Vliet)
JAVA demo of some edge operators (John McGowan)
Interesting synthetic test image for edge and line detection (J.M.H. du Buf)
Edge detectors (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Edge-based Segmentation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Edge Detector Comparison (M. Heath, S. Sarkar, T. Sanocki, and K.W. Bowyer)
Finding Local Edges (PDF, Section 3.3, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Non-Linear Local Operators (PDF section 2.2.5) (Intelligent Vision Systems for Industry, B.G. Batchelor, P.F. Whelan)
An overview of edge detection techniques (PDF, Section 5.3, pages 4-13) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Chapter 4) (Computational Vision, H.A. Mallot, J.S. Allen)
Tutorial and JAVA demo on the Canny edge detector (The HIPR2 team)
Canny Overview (Andrew Wallace and Sarah Price)
Gaussian Smoothing, Grey-Level Gradients and the Canny Operator (David Young)
Canny, Deriche and some further developments (Stephen Smith)
Canny Edge Detector (Robyn Owens)
Canny Edge Detection Demo (Ma Yi and John Koo)
Scale and the Canny Edge Detector (PDF Sec 14.1-3) (Bryan Morse)
Canny edge detection (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
JAVA demo of Canny/Deriche-like filter (EPFL Biomedical Imaging Group)
Canny Edge Detection (PDF, pg 3-4) (Bruce Draper and J. Ross Beveridge)
A Pipelined Architecture for the Canny Edge Detector (PDF chapter 8 section 2) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
A Short History of Color Edge Detection (Mark A. Ruzon)
Analysis and Characterization of a Canny-based Color Edge Detection Algorithm (Kate Starbird and John Owens)
Overview of edge types (Dave Marshall)
Edge detectors (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Energy Based Methods (Stephen Smith)
First Derivative Methods (PDF Sec 13.2) (Bryan Morse)
Gradient Magnitude Thresholding (PDF Sec 16.2) (Bryan Morse)
Types of Edge Operators (PDF, Section 3.3.1, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
Gradient- and difference-based operators (PDF, Section 5.3.1, pages 5-7 ) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Part 4.2.1) (Computational Vision, H.A. Mallot, J.S. Allen)
High, Band and Low Pass Filters (Young, Gerbrands and van Vliet)
Fitting Functions to the Image Brightness Surface (Stephen Smith)
Edge fitting (PDF, Section 5.3.3, pages 10-11) (Machine Vision; David Vernon)
Kirsch Compass Kernels (PDF Sec 13.2.2) (Bryan Morse)
Kirsch Operator (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Types of Edge Operators (PDF, Section 3.3.1, page 5) (Computer Vision, Dana Ballard and Christopher Brown)
Tutorial and JAVA demo on the Laplacian of Gaussian operator (The HIPR2 team)
Tutorial and JAVA demo on the zero crossing operator (The HIPR2 team)
Difference of Gaussians and Zero Crossings Filter (David Young)
Zero Crossings of the Laplacian of a Gaussian (Stephen Smith)
Laplacian of Gaussian/Zero-Crossing Edge Detector (Dave Marshall)
Marr-Hildreth Edge Detector (Robyn Owens)
Second Derivative Filters (Young, Gerbrands and van Vliet)
Second Derivative Methods (PDF Sec 13.3) (Bryan Morse)
Edge detectors (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Zero crossings of the second derivative (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Laplacian/Laplacian of Gaussian (Bob Fisher, Simon Perkins, Ashley Walker and Erik Wolfart)
Separability of the Laplacian of Gaussian Operator (PDF, Appendix, pages 22-23) (Machine Vision; David Vernon)
Gradient- and difference-based operators (PDF, Section 5.3.1, pages 7-8 ) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Part 4.2.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Chapter 9. Computational Vision (PDF Chapter 9 page 252-253)
Zero-crossings of the second derivative (Ming Jiang)
Using Mathematical Morphology (Stephen Smith)
Multi-scale edge detection (Tony Lindeberg)
Other Local Edge Context Methods (Stephen Smith)
Other Methods (Stephen Smith)
JAVA-based Demo of Rank and Dispersion-based gradient estimation algorithms (Median, Midpoint, Alpha-trimmed Mean, etc) (Majid Mirmehdi and Emma Woodhall)
JAVA demo of Isotropic Gradient Operator (EPFL Biomedical Imaging Group)
JAVA demo of Cubic Spline Gradient Operator (EPFL Biomedical Imaging Group)
Machine Vision Without Pixels (Tyler C. Folsom)
Tutorial and JAVA demo on the Sobel edge detector (The HIPR2 team)
Tutorial and JAVA demo on the Prewitt edge detector (The HIPR2 team)
Roberts Cross, Prewitt, Sobel and other gradient detectors (Stephen Smith)
Overview of gradient edge detectors (Dave Marshall)
Gradient Edge Detectors (Robyn Owens)
Prewitt Kernels (PDF Sec 13.2.3) (Bryan Morse)
Sobel Kernels (PDF Sec 13.2.4) (Bryan Morse)
First Derivative and Gradient Filters (Young, Gerbrands and van Vliet)
Prewitt Operator (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Sobel Operator (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
JAVA demo of Sobel/Prewitt Gradient Operator (EPFL Biomedical Imaging Group)
An overview of edge detection techniques (PDF, Section 5.3, pages 4-13) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Part 4.3.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Chapter 9. Computational Vision (PDF Chapter 9 page 250)
Using Regularization to Find Edges (Stephen Smith)
Tutorial and JAVA demo on the Roberts Cross edge detector (The HIPR2 team)
Roberts Cross, Prewitt, Sobel and other gradient detectors (Stephen Smith)
Overview of gradient edge detectors (Dave Marshall)
Gradient Edge Detectors (Robyn Owens)
Roberts Kernels (PDF Sec 13.2.1) (Bryan Morse)
Roberts Operator (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
JAVA demo of Roberts Gradient Operator (EPFL Biomedical Imaging Group)
Gradient- and difference-based operators (PDF, Section 5.3.1, pages 5-7 ) (Machine Vision; David Vernon)
Robinson Operator (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Second Directional Derivative Operators (Stephen Smith)
Second Derivative Filters (Young, Gerbrands and van Vliet)
Second Derivative Methods (PDF Sec 13.3) (Bryan Morse)
Where to place the edges (PDF Sec 14.1) (Bryan Morse)
Computational Vision (PDF - (CogNet Access Req.) Part 4.3.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Receptive Fields Tutorial (Hanover College)
Receptive Fields (York University, Canada)
Dynamic Receptive Fields (University of Texas)
Receptive Fields for Vision: from Hyperacuity to Object Recognition (PS) (The Weizmann Institute of Science)
Representation with Receptive Fields (Y. Weiss, S. Edelman)
Modeling receptive fields with non-negative sparse coding (P.O. Hoyer)
Deriving behavioural receptive fields for visually completed contours (J.M. Gold, R.F. Murray, P.J. Bennett, A.B. Sekuler)
Computational Vision (PDF - (CogNet Access Req.) Part 3.3.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Motivation for edge tracking (Andrew Wallace and Sarah Price)
Example of edge tracking and fitting of line and arc segments (Andrew Wallace and Sarah Price)
Overview of edge tracking (Dave Marshall)
An edge tracking algorithm (Dave Marshall)
Edge and Boundary Grouping (PDF Sec 16) (Bryan Morse)
Ad Oculus example of contour linking (Desok Kim)
On Associating Edge Elements (PDF, Section 4.1, page 4) (Computer Vision, Dana Ballard and Christopher Brown)
Image Connectedness (Robyn Owens)
Types of neighborhoods (Young, Gerbrands and van Vliet)
Metric and topological properties of digital images (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Border tracing (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Boundaries of Already Segmented Regions (PDF Sec 16.6) (Bryan Morse)
Contour Following (PDF, Section 4.6, page 7) (Computer Vision, Dana Ballard and Christopher Brown)
Contour following (PDF, Section 5.5.4, pages 14-16) (Machine Vision; David Vernon)
Border detection as dynamic programming (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Dynamic Programming (PDF Sec 17.5.4) (Bryan Morse)
Edge Following as Dynamic Programming (PDF, Section 4.5, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Comparison of the Efficiency of Deterministic and Stochastic Algorithms for Visual Reconstruction (PDF chapter 15 section 3.1 and 3.2) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Edge Linking (PDF Sec 16.5) (Bryan Morse)
Border detection as graph searching (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Graph Searching (PDF Sec 17) (Bryan Morse)
Edge Following as Graph Searching (PDF, Section 4.4, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Consistency Maintenance in the REVgraph Environment (PDF chapter 19) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Thresholding with Hysteresis (PDF Sec 16.3) (Bryan Morse)
Simultaneous detection of border pairs (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Edge relaxation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Edge Relaxation (PDF Sec 16.4) (Bryan Morse)
Edge Relaxation (PDF, Section 3.3.5, page 11) (Computer Vision, Dana Ballard and Christopher Brown)
Continuity Based Edge Tracking Algorithms (Andrew Wallace and Sarah Price)
Chapter 3. The Representation of Knowledge (PDF Chapter 3 page 75-80)
Gabor filters (Ralph Trapp)
Feature detection via phase congruency with Gabor filter comments (Robyn Owens)
Symmetry Detection (Changming Sun)
Characterizing points of interest using color differential invariants (Philippe Montesinos and Valerie Gouet)
Tutorial and JAVA demo on the line detection operator (The HIPR2 team)
Detecting bars and lines in images (Istvan Siklossy)
Multi-scale ridge detection (Tony Lindeberg)
Ridge detection (Wikipedia)
Analysis and Characterization of Super-Resolution Reconstruction Methods (PDF) (Catania University and STMicroelectronics)
Superresolution images reconstructed from aliased images (PDF) (P. Vandewalle, S. Susstrunk and M. Vetterli)
A novel subpixel edge detection system for dimension measurement and object localization using an analogue-based approach (Okayama University)
Subpixel Image Scaling For Color Matrix Displays (PDF) (Philips Research Laboratories)
Evaluation of Subpixel Line and Edge Detection Precision and Accuracy (PDF) (Carsten Steger)
Probabilisitic models of visual object categories (Andrew Zisserman)
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation (Daniel Cremers, Timo Kohlberger, Christoph Schnorr)
Region segmentation introduction (Andrew Wallace and Sarah Price)
Overview of region segmentation (Dave Marshall)
Region segmentation (PDF Sec 18) (Bryan Morse)
Region-based segmentation (Ramani Pichumani)
Assessment of region-based methods (Ramani Pichumani)
Graph Based Image Segmentation (Jianbo Shi, Charless Fowlkes, David Martin, Eitan Sharon)
2D Model Based Face Recognition/Authentication (Shuang CUI)
Hybrid Edge/Region Approaches (PDF Sec 18.5) (Bryan Morse)
Border tracing (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Boundary Detection (PDF, Section 5.5, pages 13-16) (Machine Vision; David Vernon)
Color region segmentation (Shashi Buluswar)
Color Image Segmentation Based on Density Gradients (Dorin Comaniciu and Peter Meer)
Efficiently Computing a Good Segmentation (Pedro F. Felzenszwalb, Daniel P. Huttenlocher)
Texture region extraction (Joachim Denzler)
Geodesic Active Regions for Supervised Texture Segmentation (Nikos Paragios, Rachid Deriche)
Colour Texture Segmentation by Region-Boundary Cooperation {Jordi Freixenet, Xavier Munoz, Joan Marti, Xavier Llado)
Algorithms for Clustering Data (PDF section 5.3) (Algorithms for Clustering Data, A.K. Jain, R. C. Dubes)
Common Approaches for Single and Multiple Regions (PDF Sec 18.3-4) (Bryan Morse)
Region splitting (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Recursive region growing (Andrew Wallace and Sarah Price)
Region growing (Dave Marshall)
Region growing segmentation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Region merging (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Region growing post-processing (see end of link) (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Semantic region growing (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Genetic image interpretation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Optimal Surface Fitting (Demetri Terzopoulos)
Region Growing (PDF, Section 5, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Region growing (PDF, Section 5.4, pages 12-13) (Machine Vision; David Vernon)
Fast segmentation using front propagation methods (Thomas Deschamps)
Segmentation in scale space (Rolf Henkel)
Multi-Scale Free-Form Surface Description (Nasser Khalili, Peter Yuen, Farzin Mokhtarian)
Basic Split and Merge (Andrew Wallace and Sarah Price)
Split and merge (Dave Marshall)
Split and merge algorithm (PDF Sec 18.4.4) (Bryan Morse)
Splitting and merging (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Semantic region growing (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Splitting and Mergin (PDF, Section 5.4, page 7) (Computer Vision, Dana Ballard and Christopher Brown)
Thresholding (see also next 3 pages) (Ramani Pichumani)
Thresholding (PDF, Section 5.2 pages 2-4) (Machine Vision; David Vernon)
Watershed Segmentation Algorithm (PDF Sec 18.6) (Bryan Morse)
The 2D and 3D watershed transform and its application to region segmentation (Desok Kim)
Ridge/Valley-like Structures (Antonio Lopez)
Vanishing points (Stan Birchfield)
Ideal Points and Vanishing Points (Paul Beardsley)
Vanishing Point Detection (Carsten Rother)
Computational Vision (PDF - (CogNet Access Req.) Part 8.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Optimal surface detection (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Curvature-Sign Patch Classification (Andrew Wallace and Sarah Price)
Surface Segmentation (Bob Fisher)
Minimum Point Exact Parametric Surface Fit (Andrew Wallace and Sarah Price)
Simple Planar Least-Square Surface Fitting (Andrew Wallace and Sarah Price)
Least-squares fitting of spheres, cylinders, cones and tori (Ralph Martin)
Surface Tracking (PDF Sec 20.2.2) (Bryan Morse)
Fitting Subdivision Surfaces (N. Litke, A. Levin, P. Schroeder)
Problems in Model Selection for Range Segmentation (Niloofar Gheissari,Alireza Bab-Hadiashar)
Parametric Curved Surface Range Segmentation algorithm (Niloofar Gheissari,Alireza Bab-Hadiashar)
Shape from Silhouettes (PDF File Section 3) (Charles Dyer, from "Foundations of Image Analysis", L. S. Davis (Ed), Kluwer, 2001.)
Shape from Silhouettes (Anastasios Manessis)
Structure and motion from profiles (Paulo Ricardo dos Santos Mendonca)
Depth from focus/defocus (Paolo Favaro)
Demo of a Real-Time Active Defocus Range Sensor (Shree Nayar and the Columbia Automated Vision Environment)
Reconstruction of micro objects based on focus sets (Jan Wedekind)
Demo of Microscopic Shape from Focus (Shree Nayar and the Columbia Automated Vision Environment)
Depth from focus/defocus (Paolo Favaro)
An overview of shape from motion (Helmut Cantzler)
Structure from motion (Anastasios Manessis)
Shape from Photo-Consistency (PDF File Section 4) (Charles Dyer, from "Foundations of Image Analysis", L. S. Davis (Ed), Kluwer, 2001.)
Reconstruction based on photo consistency (Anastasios Manessis)
Photometric Stereo (Andrew Wallace and Sarah Price)
An overview of shape from shading (Helmut Cantzler)
Shape from Shading (Andrew Wallace and Sarah Price)
The Variational Approach to Shape from Shading (Philip L. Worthington)
Computational Vision (PDF - (CogNet Access Req.) Chapter 7) (Computational Vision, H.A. Mallot, J.S. Allen)
An overview of shape from texture (Helmut Cantzler)
Shape from Texture (PDF) (Panagiotis Sourtzinos)
A brief overview of image texture (Helmut Cantzler)
Texture (PDF, Section 6, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Location and Description of Textured Surfaces using Stereo Vision (PDF chapter 20) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Spectral Approaches (PDF Sec 22.6) (Bryan Morse)
Primitive grouping in hierarchical textures (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
TINA: A 3D Vision System for Pick and Place (PDF Chapter 29) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Parallel Architecture for Fast 3-D Machine Vision (PDF chapter 9) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
A Multiprocessor 3D Vision System for Pick and Place (PDF Chapter 10) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Syntactic texture description (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Structural Models of Texel Placement (PDF, Section 6.3, page 5) (Computer Vision, Dana Ballard and Christopher Brown)
Shape chain grammars (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Grammatical Models (PDF, pages 7-13) (Computer Vision, Dana Ballard and Christopher Brown)
Dimensionality Reduction by Canonical Contextual Correlation Projections (Marco Loog, Bram van Ginneken, Robert P. Duin)
Rao-Blackwell Dimension Reduction in Visual Tracking Applications (Xinyu Xu, Baoxin Li)
Statistical texture description (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Texture Boundary Detection for Tracking Applications (Ali Shahrokni, Tom Drummond and Pascal Fua)
Algorithms for Clustering Data (PDF section 2.1.1) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Algorithms for Clustering Data (PDF section 2.1.2) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Co-occurrence Matrices (PDF Sec 3.7) (Bryan Morse)
Ad Oculus example of co-occurrence matrix calculation (Desok Kim)
Grey-level Co-occurrence (PDF Sec 22.4.2) (Bryan Morse)
Co-occurrence matrices (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Two Dimensional Discrete Fourier Transform, (PDF section 2.7.2) (Intelligent Vision Systems for Industry, B.G. Batchelor, P.F. Whelan)
Edge frequency (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Laws' texture energy measures (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Laws' Texture Measures (Patrick M. Kelly)
Texture Energy (PDF, Section 6.4.1, page 4) (Computer Vision, Dana Ballard and Christopher Brown)
Primitive length (run length) (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Methods based on spatial frequencies (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Texture as a Pattern Recognition Problem (PDF, Section 6.4, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
The Texture Gradient (PDF, Section 6.5, page 9) (Computer Vision, Dana Ballard and Christopher Brown)
Computational Vision (PDF - (CogNet Access Req.) Part 8.4) (Computational Vision, H.A. Mallot, J.S. Allen)
Computational Vision (PDF - (CogNet Access Req.) Part 8.3) (Computational Vision, H.A. Mallot, J.S. Allen)
Computational Vision (PDF - (CogNet Access Req.) Part 8.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Image feature extraction and topological representation (Claudia Fuchs)
Advances in 3D Model Identification from Stereo Data (PDF chapter 21 pages 191-193) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Volumetric Scene Reconstruction from Multiple Views (PDF File) (Charles Dyer, from "Foundations of Image Analysis", L. S. Davis (Ed), Kluwer, 2001.)
Multi-scale feature detection (Tony Lindeberg)
Feature Technology (Adrian Bowyer, University of Bath)
A FAQ on Color (Charles Poynton)
Basics of Color (Robyn Owens)
Color Science (Dan Bruton)
Color Representation (Oren Kapah)
Computational Vision (PDF - (CogNet Access Req.) Chapter 5) (Computational Vision, H.A. Mallot, J.S. Allen)
Surface Reflectance (Andrew Wallace and Sarah Price)
The Measurement and Modeling of Reflectance - a Survey (Graham Finlayson)
Reflectance and Color Estimation - a Survey (Graham Finlayson)
Spectral Filtering (Bob Fisher)
Demo of Computation of Reflectance Ratios from Images (Shree Nayar and the Columbia Automated Vision Environment)
Physics-based models of reflectance (Shashi Buluswar)
Reflectance (PDF, pg 1-3) (Bruce Draper and J. Ross Beveridge)
Filtering and Reflectance Models (PDF, Section 3.2.4, page 11) (Computer Vision, Dana Ballard and Christopher Brown)
Shading (PDF, Section 9.4.3 pages 17-20) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Part 2.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Tristimulus theory of colour perception (Robyn Owens)
Computer Graphics Color Models (Leonard McMillan)
Computational Vision (PDF - (CogNet Access Req.) Part 5.1) (Computational Vision, H.A. Mallot, J.S. Allen)
JAVA demo of additive colored light combination (Jeff Hightower)
Color Constancy (Mark Ebner)
Computational color constancy (Shashi Buluswar)
Physics-based models of reflectance (Shashi Buluswar)
Homomorphic Filtering and Illumination Constancy Correction (Robyn Owens)
Shading Correction (Young, Gerbrands and van Vliet)
Description and Retinex code in Matlab (Brian Funt, Florian Ciurea, and John McCann)
Retinex home page (NASA Langley research Center)
Global Illumination Compendium (Philip Dutre)
Computational Vision (PDF - (CogNet Access Req.) Part 5.2.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Bookmarks and info on many aspects of color (Earl Glynn)
CIE chromaticity coordinates (Young, Gerbrands and van Vliet)
Bookmarks and info on CIE (Earl Glynn)
CIE L*a*b* model (PDF Ch 1) (Alex Ryer - International Light)
Tristimulus theory of colour perception (Robyn Owens)
LMS and LMS<->XYZ Conversion (Wyszecki and Stiles)
Bookmarks and info on color spaces (Earl Glynn)
Colour Models (Robyn Owens)
RGB Interleaving Formats (Satellite Imagery FAQ)
Computational Vision (PDF - (CogNet Access Req.) Part 5.1.3) (Computational Vision, H.A. Mallot, J.S. Allen)
RGB/XYZ Matrices (Bruce Lindbloom)
Learning the parts of objects by nonnegative matrix factorization (D. D. Lee, H. S. Seung)
Classifying Faces with Non-negative Matrix Factorization (David Guillamet, Jordi Vitria)
FISHER NON-NEGATIVE MATRIX FACTORIZATION FOR LEARNING LOCAL FEATURES (Yuan Wang, Yunde Jia, Changbo Hu, Matthew Turk)
Gaussian Mixture Models (Yogesh Raja and Shaogang Gong)
A FAQ on Gamma (Charles Poynton)
Gamma Correction (Computer Graphics Systems Development Corporation)
Bookmarks and info on Gamma Correction (Earl Glynn)
Camera Parameters - Maximizing Image Quality (The Imaging Source Network)
Characterizing points of interest using color differential invariants (Philippe Montesinos and Valerie Gouet)
Physics-based models of reflectance (Shashi Buluswar)
Lambert's Law and Lambertian Surfaces (PDF Ch 6) (Alex Ryer - International Light)
Lambertian Reflectance (PDF, pg 1-2) (Bruce Draper and J. Ross Beveridge)
Computational Vision (PDF - (CogNet Access Req.) Part 2.1.3) (Computational Vision, H.A. Mallot, J.S. Allen)
Levels of image data representation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Image Formation, Part 1 (PDF, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Image Formation, Part 2 (PDF, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Image Formation, Part 3 (PDF, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Models of Image Formation (Andrew Wallace and Sarah Price)
2D Image Input (Dave Marshall)
Image Basics (PDF Sec 2.1) (Bryan Morse)
Digital Image Definitions (Young, Gerbrands and van Vliet)
Image functions (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Metric and topological properties of digital images (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
A Beginners Guide to Bitmaps (representations, encodings and compression) (Paul Bourke)
Types of neighborhoods (Young, Gerbrands and van Vliet)
Quantisation, sampling and noise (Andrew Wallace and Sarah Price)
Image Sampling (Young, Gerbrands and van Vliet)
Sampling Density for Image Processing (Young, Gerbrands and van Vliet)
Sampling Density for Image Analysis (Young, Gerbrands and van Vliet)
Image digitization (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Sampling (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Image Acquisition and representation (PDF) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Part 3.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Quantisation, sampling and noise (Andrew Wallace and Sarah Price)
Common Image Sizes (Young, Gerbrands and van Vliet)
Quantization (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
On Spatial Quantization of Color Images (Jan C. Puzicha)
Bookmarks and info on Illumination (Earl Glynn)
Measurement of Radiant and Luminous Flux, Irradiance and Illuminance, Radiance and Luminance, and Radiant and Luminous Intensity (PDF Ch 7) (Alex Ryer - International Light)
Setting Up An Optical Bench (PDF Ch 8) (Alex Ryer - International Light)
Choosing a Radiometer (PDF Ch 13) (Alex Ryer - International Light)
Effective irradiance (PDF Ch 2) (Alex Ryer - International Light)
Light and Shadows: Examples of LED lighting in industrial image processing (The Imaging Source)
Electromagnetic Wave Theory (PDF Ch 1) (Alex Ryer - International Light)
Ultraviolet, visible and infrared light (PDF Ch 1) (Alex Ryer - International Light)
Quantum Theory and the power of light (PDF Ch 2) (Alex Ryer - International Light)
How Light Behaves (PDF Ch 3) (Alex Ryer - International Light)
Computational Vision (PDF - (CogNet Access Req.) Part 2.1.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Computational Vision (PDF - (CogNet Access Req.) Part 2.1.4) (Computational Vision, H.A. Mallot, J.S. Allen)
Basic manipulation of light (PDF Ch 4) (Alex Ryer - International Light)
Light Sources (PDF Ch 5) (Alex Ryer - International Light)
Inverse Square law and Point Sources (PDF Ch 6) (Alex Ryer - International Light)
Backlighting techniques (Firstsight Vision Ltd)
Irradiance From An Extended Source (PDF Ch 7) (Alex Ryer - International Light)
The Lighting Advisor (B. G. Batchelor)
OCR on colourful backgrounds (Firstsight Vision Ltd)
Using Coloured Illumination (Firstsight Vision Ltd)
Do White Bears Have Polar Eyes? (LIGHT WORKS)
Spectral Filtering (Bob Fisher)
Choosing a Filter (PDF Ch 11) (Alex Ryer - International Light)
Guided Tour of Common Light Sources (Richard Rusk)
Getting the most out of LED lighting (Firstsight Vision Ltd)
Tutorial and JAVA demo on image noise (The HIPR2 team)
Quantisation, sampling and noise (Andrew Wallace and Sarah Price)
Measurements and noise (Robyn Owens)
Noise in images (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
JAVA-based Demo of Gaussian Noise Corruption (Majid Mirmehdi and Emma Woodhall)
JAVA-based Demo of Salt-and-Pepper Noise Corruption (Majid Mirmehdi and Emma Woodhall)
Image Noise Sources (Young, Gerbrands and van Vliet)
Amplifier Noise (Young, Gerbrands and van Vliet)
KTC Noise (Young, Gerbrands and van Vliet)
On-chip Electronic Noise (Young, Gerbrands and van Vliet)
Photon Noise (Young, Gerbrands and van Vliet)
Quantization Noise (Young, Gerbrands and van Vliet)
Thermal Noise (Young, Gerbrands and van Vliet)
JAVA-based Demo of Uniform Noise Corruption (Majid Mirmehdi and Emma Woodhall)
Modulation Transfer Function (Thierry Legault)
Lenses and Eyes (PDF - (CogNet Access Req.) Part 2.2.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Simple lens model (Robyn Owens)
Demo of telecentric optics for making magnification invariant with focus (Shree Nayar and the Columbia Automated Vision Environment)
Focusing lenses (PDF Ch 4) (Alex Ryer - International Light)
Basic Optics (http://www.theimagingsource.com/en/products/en/products/)
A Tutorial on Catadioptric Image Formation (Simon Baker and Shree K. Nayar)
Focus Invariant Imaging (Edward R. Dowski)
Simple Lens Model (Robyn Owens)
Cosine Diffusers and Radiance Lens Barrels (PDF Ch 12) (Alex Ryer - International Light)
Basic Optics (The Imaging Source)
Computational Vision (PDF - (CogNet Access Req.) Part 2.2.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Lens Selection (Firstsight Vision Ltd)
Lense Selection and Setup (The Imaging Source)
"Do I need a telecentric lens?" (Firstsight Vision Ltd)
How Do I Make A Telecentric System? (LIGHT WORKS)
Silicon photodiode spectral response (PDF Ch 2) (Alex Ryer - International Light)
Human eye spectral response (PDF Ch 2) (Alex Ryer - International Light)
Choosing a Detector (PDF Ch 10) (Alex Ryer - International Light)
Active Computer Vision (James Crowley)
Link to A Few Steps Towards 3D Active Vision including 2.7M PS draft of book (Thierry Vieville)
Other vision paradigms: Active and purposive vision (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Visual reconstruction (PDF Book) (Visual reconstruction, A. Blake, A. Zisserman)
Surface reconstruction from occluding contours (Edmond Boyer)
Reconstruction of curved surfaces from apparent contours (Jun Sato)
Surface Reconstruction (PDF Chapter 2) (Visual reconstruction, A. Blake, A. Zisserman)
Dilation and time-to-collision (David Young)
Reviewing Detections and Tracking Approaches (Daniel Rowe)
Thresholding for change detection (Paul Rosin)
Detection and Tracking of Very Small Low Contrast Objects (D. Davies, P. Palmer, and M. Mirmehdi)
Non-parametric background subtraction (Ahmed Elgammal, David Harwood, Larry Davis)
Morphological Scene Change Detection (Elena Stringa)
Real-Time Moving Object Detection System for Visual Surveillance (Akihiko Iketani)
Computational Vision (PDF - (CogNet Access Req.) Part 9.4.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Spatiotemporal Attentional Selection of Active Salient Objects (Thomas Geerinck)
Detecting motion object by spatio-temporal entropy (PDF) (Yu-Fei Ma et al)
Object Detection and Tracking Using a Likelihood Based Approach (PDF) (P. Withagen et al)
People Tracking for Visual Surveillance (Nils T Siebel)
Trajectory Guided Tracking and Recognition of Actions (PDF) (R. Rosales et al)
Static camera and moving objects: image differencing (David Young)
Range Flow: The 3D Movement of Deformable Surfaces (PDF file) (Hagen Spies and John Barron)
High Resolution Tracking of Non-Rigid 3D Motion Using Harmonic Maps (Yang Wang, Mohit Gupta, Sen Wang, Xianfeng Gu, Dimitris Samaras)
Motion and Motion Field (Robyn Owens)
Motion-based segmentation (Marc Gelgon)
Literature Review on Motion Segmentation Approaches (Stephen Smith)
Segmented Images (PDF, Section 7.3.5, page 14) (Computer Vision, Dana Ballard and Christopher Brown)
Analysing Video Sequences using the Spation-Temporal Volume (Toby Collins)
Introduction to optical flow (Dave Marshall)
Performance of optical flow techniques (J. L Barron, D. J.Fleet, S. S. Beauchemin)
Literature review on optical flow (Stephen Smith)
Variational Optic Flow with Nonlinear Terms (Thomas Brox, Andres Bruhn, Nils Papenberg, Joachim Weickert)
Optical flow (Robyn Owens)
Optical flow techniques (Robyn Owens)
Accuracy vs. efficiency trade-offs in optical flow algorithms (Hongche Liu)
Fast Image Motion Estimation Demo (Changming Sun)
Optical Flow (PDF, Section 3.6, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Understanding Optical Flow (PDF, Section 7.2, page 5) (Computer Vision, Dana Ballard and Christopher Brown)
Computational Vision (PDF - (CogNet Access Req.) Chapter 10) (Computational Vision, H.A. Mallot, J.S. Allen)
Chapter 9. Computational Vision (PDF Chapter 9 page 261-262)
Literature Review on Correlation Based Approaches (Stephen Smith)
Literature Review on Feature Based Approaches (Stephen Smith)
Understanding Image Sequences (PDF, Section 7.3 page 1) (Computer Vision, Dana Ballard and Christopher Brown)
The optic flow field (David Young)
Ad Oculus example of flow vector field calculation (Desok Kim)
Understanding Image Sequences (PDF, Section 7.3, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Computational Vision (PDF - (CogNet Access Req.) Part 10.2-10.3) (Computational Vision, H.A. Mallot, J.S. Allen)
Measuring optic flow (David Young)
Finding the optical flow (Dave Marshall)
Literature Review on Gradient Based Approaches (Stephen Smith)
Computational Vision (PDF - (CogNet Access Req.) Part 9.3) (Computational Vision, H.A. Mallot, J.S. Allen)
Optical flow constraint equation (Dave Marshall)
The Fundamental Flow Constraint (PDF, Section 3.6.1, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Optical flow smoothness constraint (Dave Marshall)
Interpreting optic flow (David Young)
Chapter 9. Computational Vision (PDF Chapter 9 page 263 box 9.6)
Rigid motion estimation from point correspondences (Miroslav Trajkovic)
Camera motion (PDF, Section 9.4.2, pages 11-17) (Machine Vision; David Vernon)
Time as an extra image dimension (David Young)
Introduction to structure from motion (Tony Jebara, Ali Azarbayejani and Alex Pentland)
A Structure and Motion Toolkit in Matlab (whole PS file) (Philip Torr)
An interactive human walking moving light display (Nikolaus Troje)
Photogrammetry and early point-based approaches (Tony Jebara, Ali Azarbayejani and Alex Pentland)
Linear approaches to structure from motion (Tony Jebara, Ali Azarbayejani and Alex Pentland)
Structure from motion (Robyn Owens)
Structure and motion estimation with an uncalibrated affine camera (Miroslav Trajkovic)
Structure and motion (Marc Pollefeys)
Critical motion sequences (Marc Pollefeys)
Initial frame (Marc Pollefeys)
Combined metric structure and motion recovery (Marc Pollefeys)
A nonlinear recursive estimation algorithm (Tony Jebara, Ali Azarbayejani and Alex Pentland)
Tomasi-Kanade factorization (Tony Jebara, Ali Azarbayejani and Alex Pentland)
Factorization Methods for Motion and Shape Recovery (Toshio Ueshiba)
Reviewing Detections and Tracking Approaches (Daniel Rowe)
Tracking issues for motion sequences (Tony Jebara, Ali Azarbayejani and Alex Pentland)
Rao-Blackwell Dimension Reduction in Visual Tracking Applications (Xinyu Xu, Baoxin Li)
Introduction to Active Contours and Visual Dynamics (Andrew Blake)
Demo of real-time appearance-based tracking (Shree Nayar and the Columbia Automated Vision Environment)
Modelling and Tracking Articulated Bodies using Multiple Cameras (Maurice Ringer and Joan Lasenby)
Multiple-Target Tracking based on Particle Filtering (Daniel Rowe)
Brief overview of Condensation Tracking (Michael Isard)
Particle Filtering (PDF page 30) (Vincent Lepetit and Pascal Fua)
Rao-Blackwell Dimension Reduction in Visual Tracking Applications (Xinyu Xu, Baoxin Li)
Discontinuous Event Tracking (Jamie Sherrah, Shaogang Gong)
Feature Point Tracking Algorithms (Dmitry Chetverikov, Judit Verestoy)
Demo of Feature Based Tracking (Dmitry Chetverikov, Judit Verestoy)
Correspondence Linking Algorithm (Marc Pollefeys)
Mean Shift on Lie Groups for multiple target motion correspondence (Oncel Tuzel, Peter Meer)
Temporal Stereo Vision (Simon Crossley)
An Introduction to the Kalman Filter (Greg Welch and Gary Bishop)
Kalman Filter Reference (Greg Welch and Gary Bishop)
Incremental partially constrained tracking using the single-constraint-at-a-time (SCAAT) approach (Greg Welch and Gary Bishop)
An introduction to digital signal processors (Bruno Paillard)
Support Vector Machines for Vision (Yang, Roth, Ahuja)
Overview of parallel hardware for morphology and vision (Antonios Gasteratos)
General Purpose Image Processing Architectures and Machines (Antonios Gasteratos)
Dedicated Hardware for Morphological Image Processing (Antonios Gasteratos)
Cartoon-style Rendering of Motion from Video (J. P. Collomosse, D. Rowntree and P. M. Hall)
Cubist Style Rendering from Photographs (J. P. Collomosse and P. M. Hall)
Image Processing for fine arts (J. Boros)
Digital Mosaic Frameworks - An Overview (S. Battiato, G. Di Blasi, G.M. Farinella, G. Gallo
Changing Contrast by Linear Interpolation (Paul Haeberli and Douglas Voorhies)
Tutorial and JAVA demo on the contrast stretching operator (The HIPR2 team)
Contrast stretching (Young, Gerbrands and van Vliet)
Local contrast adjustment using gray-value mathematical morphology (Young, Gerbrands and van Vliet)
Grey scale transformation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
JAVA demo of image normalization (EPFL Biomedical Imaging Group)
Tutorial and JAVA demo on the unsharp filtering operator (The HIPR2 team)
Sharpening an Image by Linear Interpolation (Paul Haeberli and Douglas Voorhies)
Unsharp masking (Young, Gerbrands and van Vliet)
Comments on Unsharp Masking (Thierry Legault)
Unsharp Masking (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Tutorial and JAVA demo on the histogram equalization operator (The HIPR2 team)
Histogram Equalization (Robyn Owens)
Equalization (Young, Gerbrands and van Vliet)
Adaptive Contrast Enhancement code (Alex Stark)
Histogram equalization and code (Earl Glynn)
Grey scale transformation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Histogram equalization of color images (Chengye Mao)
Changing Saturation by Linear Interpolation (Paul Haeberli and Douglas Voorhies)
Tutorial and JAVA demo on the binary distance transform operator (The HIPR2 team)
Distance Maps (PDF Sec 6.2) (Bryan Morse)
Distance Maps, Transforms (PDF Sec 10.1) (Bryan Morse)
Euclidean Distance Transforms (Frederic Leymarie)
Tutorial and JAVA demo on the binary skeleton operator (The HIPR2 team)
The medial axis transform (Andrew Wallace and Sarah Price)
Binary Region Skeletons (Robyn Owens)
Blum's Medial Axis and Others (PDF Sec 10.2-5) (Bryan Morse)
Multiscale Medial Axis (Ramani Pichumani)
Medial Axis Skeletonization Using Voronoi Skeleton Software (Robert L. Ogniewicz)
Tutorial and JAVA demo on the binary skeleton operator (The HIPR2 team)
Binary Region Skeletons (Robyn Owens)
Skeleton (Young, Gerbrands and van Vliet)
Skeletons (PDF Sec 6.2) (Bryan Morse)
Skeletonization in 2D, 3D and 4D images (Pieter P. Jonker)
Skeleton construction (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Smoothed Local Symmetries (PDF Sec 10.4) (Bryan Morse)
Geometric transformations (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
A Java Package for Geometrical Image Transformation (Erik Meijering)
Tutorial and JAVA demo on the image rotation operator (The HIPR2 team)
Tutorial and JAVA demo on the image translation operator (The HIPR2 team)
Tutorial and JAVA demo on the image reflection operator (The HIPR2 team)
Geometric Transforms (Robyn Owens)
Euclidean transforms (PDF, pg 1) (Bruce Draper and J. Ross Beveridge)
Tutorial and JAVA demo on the image scaling operator (The HIPR2 team)
Efficient Image Magnification by Bicubic Spline Interpolation (Michael J. Aramini)
Nonlinear Magnification Home Page (includes Overview) (T. Alan Keahey)
Image Interpolation by Mathematical Morphology (Serge Beucher)
Brightness interpolation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Spline Interpolation (Philippe Thevenaz)
A Chronology of Interpolation (Erik Meijering)
Efficient image magnification by bicubic spline interpolation (Michael J. Aramini)
Bilinear, Cubic Interpolation (PDF, pg 5-6) (Bruce Draper and J. Ross Beveridge)
Tutorial and JAVA demo on the image affine transformation operator (The HIPR2 team)
Affine and Perspective Projection (PDF, pg 2-5) (Bruce Draper and J. Ross Beveridge)
Pixel co-ordinate transformations (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Morphing (PDF, pg 1-3) (Bruce Draper and J. Ross Beveridge)
Spatial Warping (PDF, Section 4.3.1 pages 12-16) (Machine Vision; David Vernon)
Discrete cosine transform (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Description and JAVA demo of Discrete Cosine Transform (EPFL Biomedical Imaging Group)
Discrete cosine transform (DCT) (PDF, pg 3) (Bruce Draper and J. Ross Beveridge)
Tutorial and JAVA demo on the image Fourier transform operator (The HIPR2 team)
Introduction to Fourier image processing (Dave Marshall)
What do spatial frequencies mean in an image? (Dave Marshall)
Theory of 1D and 2D continuous and discrete Fourier transforms (Dave Marshall)
The Fast Fourier Transform (FFT) in 1 and 2 dimensions (Dave Marshall)
Fourier Theory for Images (Robyn Owens)
Fourier Transforms (Young, Gerbrands and van Vliet)
Properties of Fourier Transforms (Young, Gerbrands and van Vliet)
Ad Oculus example of Fourier Transform (Desok Kim)
2D Fourier Transform (Paul Bourke)
Fourier transform (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Description and JAVA demo of Fast Fourier Transform (EPFL Biomedical Imaging Group)
1D/2D Fourier Transform (PDF, pg 1-3) (Bruce Draper and J. Ross Beveridge)
Fourier Analysis : Basics (Peter Kaiser)
Two Dimensional Discrete Fourier Transform, (PDF section 2.6.2) (Intelligent Vision Systems for Industry, B.G. Batchelor, P.F. Whelan)
Computational Vision (PDF - (CogNet Access Req.) Part 3.3.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Tutorial and JAVA demo on frequency filtering (The HIPR2 team)
Fourier transforms and convolution (Dave Marshall)
Fourier space smoothing methods (Dave Marshall)
Frequency Domain Filters (Robyn Owens)
Image Filtering in the Frequency Domain (Paul Bourke)
Homomorphic Filtering and Illumination Constancy Correction (Robyn Owens)
Haar Transform (Eric Weisstein/Wolfram Research)
Hartley Transform (Wolfram Research)
Hartley Transform (Eric Weisstein/Wolfram Research)
Hadamard transform (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Tutorial and JAVA demo on the histogram operator (The HIPR2 team)
Intensity Histograms with JAVA Demo (Andrew Fitzgibbon)
Histograms (Robyn Owens)
Histograms and Histogram Smoothing (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Histogram Transformations (PDF, Section 3.2.2, page 8) (Computer Vision, Dana Ballard and Christopher Brown)
Tutorial and JAVA demo on the Hough transform operator (The HIPR2 team)
Feature space transformation for line detection (Andrew Wallace and Sarah Price)
Hough Transforms (David Young)
Hough transform and line finding (Dave Marshall)
Hough Transform and Edge Detection (Robyn Owens)
Hough Transform, Implementation Details (PDF Sec 15.1) (Bryan Morse)
Hough transforms (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Hough Transform Sampling Intervals (Hideaki Goto)
Hough Transform (PDF, pg 1-3) (Bruce Draper and J. Ross Beveridge)
The Hough Method for Curve Detection (PDF, Section 4.3, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
A New Hough Transform Mapping for Ellipse Detection (University of Southampton)
Constrained Hough Transforms for Curve Detection (PDF) (Clark F. Olson, University of Washington)
Hough Transform (PDF section 2.6.1) (Intelligent Vision Systems for Industry, B.G. Batchelor, P.F. Whelan)
The Hough Transform (PDF, Section 6.4, pages 7-10) (Machine Vision; David Vernon)
Feature space transformation for line detection (Andrew Wallace and Sarah Price)
The Cascaded Hough Transform (Tinne Tuytelaars)
Generalized Hough Transform (PDF Sec 15.5) (Bryan Morse)
Hough transforms (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Generalized Hough Transform (PDF, pg 1-3) (Bruce Draper and J. Ross Beveridge)
Pose estimation using the Hough Transform (Philipp Robbel)
The generalized Hough trasnform (PDF, Section 6.4.2, pages 9-10) (Machine Vision; David Vernon)
Location and Description of Textured Surfaces using Stereo Vision (PDF chapter 20 Section 1.3) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Hierarchical Hough Transform (David Young)
Radon Transform (Eric Weisstein/Wolfram Research)
The Trace Transform in a Nutshell (MS word file) (Maria Petrou and A. Kadyrov)
Feature detection via phase congruency with wavelet comments (Robyn Owens)
Wavelets (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Description and JAVA demo of Wavelet Transform (EPFL Biomedical Imaging Group)
JAVA demo comparing Pyramid and Wavelet Transforms (EPFL Biomedical Imaging Group)
Compression FAQ (Jean-loup Gailly)
Compression Resources (Stuart Inglis)
Overview of Image Data Compression (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Image data properties that allow coding (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Discrete image transforms in image data compression (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Comparison of compression methods (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Image compression (PDF, pg 1-3) (Bruce Draper and J. Ross Beveridge)
Image Compression with Set Partitioning in Hierarchical Trees (Amir Said and William A. Pearlman)
Video compression, videoconferencing, and image compression (Frank Hartung)
Video Compression (PDF) (David Strachan)
Video Compression (PDF) (Djordje Mitrovic)
Arithmetic Coding (Mark Nelson)
Coding (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
TIFF 6 Specification (Adobe Systems Inc)
Huffman Coding (PDF, pg 2-3) (Bruce Draper and J. Ross Beveridge)
Lempel-Ziv-Welch (LZW) (PDF, pg 2) (Bruce Draper and J. Ross Beveridge)
TIFF (PDF, pg 2) (Bruce Draper and J. Ross Beveridge)
GIF (PDF, pg 1) (Bruce Draper and J. Ross Beveridge)
Fractal Image Compression Bibliography
Hierarchical and progressive compression techniques (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
JPEG and MPEG image compression (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
JPEG-FAQ (Tom Lane)
JPEG (PDF, pg 3) (Bruce Draper and J. Ross Beveridge)
JPEG and MPEG image compression (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
MPEG FAQ (Frank Gadegast)
MPEG FAQs (Moving Picture Expert Group)
MPEG (PDF, pg 3) (Bruce Draper and J. Ross Beveridge)
MPEG-2 video compression (P.N. Tudor)
Predictive compression methods (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
The FBI Fingerprint Image Compression Standard (Chris Brislawn)
Tutorial and JAVA demo on the convolution operator (The HIPR2 team)
Convolution (David Young)
Convolution in Two Dimensions (Andrew Wallace and Sarah Price)
Theory of 1D continuous convolutions (Dave Marshall)
Convolution (Young, Gerbrands and van Vliet)
Properties of Convolution (Young, Gerbrands and van Vliet)
Convolution-based Operations (Young, Gerbrands and van Vliet)
Convolution in the spatial domain (Young, Gerbrands and van Vliet)
Convolution in the frequency domain (Young, Gerbrands and van Vliet)
Convolution (PDF, pg 4) (Bruce Draper and J. Ross Beveridge)
Convolution (PDF, Section 4.2.1, pages 5-7) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Part 3.3.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Convolution of continuous functions (PDF - (CogNet Access Req.) Part 3.3.1) (Computational Vision, H.A. Mallot, J.S. Allen)
Difference of Gaussians and Zero Crossings Filter (David Young)
Sharpening/High Pass Filters (Robyn Owens)
Tutorial and JAVA demo on image noise (The HIPR2 team)
Summary of Smoothing Filters (Young, Gerbrands and van Vliet)
JAVA-based Demo of Various Noise Removal Algorithms (Median, Midpoint, Alpha-trimmed Mean, etc) (Majid Mirmehdi and Emma Woodhall)
Noise and scale reduction by treating images as embedding maps and minimal surfaces (Ron Kimmel)
A Short Introduction to Digital Image Processing (Allan Hanbury)
Overview of Smoothing (PDF Sec 12.1) (Bryan Morse)
Java Demo of Mean, Median, MLV, MCV filters with tutorial (Mark A. Schulze)
Common sources of blurring and noise (Todd Veldhuizen)
Measures of image quality (Todd Veldhuizen)
Reaction-Diffusion filtering (Thomas Deschamps)
Chapter 9. Computational Vision (PDF Chapter 9 page 245-246)
Estimating local variance for Gaussian filtering (Giovani Gomez)
Affine shape adaptation (Wikipedia)
Tutorial and JAVA demo on the mean smoothing operator (The HIPR2 team)
Spatial domain smoothing methods (Dave Marshall)
Average Smoothing (Robyn Owens)
Linear Filters (Young, Gerbrands and van Vliet)
Java Demo of Mean, Median, MLV, MCV filters with tutorial (Mark A. Schulze)
Averaging, with limited data validity, according to inverse gradient, using a rotating mask (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
JAVA demo of moving average smoothing (EPFL Biomedical Imaging Group)
Chapter 9. Computational Vision (PDF Chapter 9 page 248)
Edge preservation by bilateral smoothing (Roberto Manduchi)
Position dependent brightness correction (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Tutorial and JAVA demo on the conservative smoothing operator (The HIPR2 team)
Tutorial and JAVA demo on the Crimmins smoothing operator (The HIPR2 team)
Inverse Convolution (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Inverse filtration (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Deconvolution, also as applied to confocal microscope images (Filip Rooms - filip dot rooms at gmail dot com)
Averaging, with limited data validity, according to inverse gradient, using a rotating mask (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Summary and JAVA demo of noise removal filter (EPFL Biomedical Imaging Group)
Tutorial and JAVA demo on the gaussian smoothing operator (The HIPR2 team)
Gaussian Convolution Mask and Smoothing (David Young)
Linear Filters (Young, Gerbrands and van Vliet)
Gaussian Smoothing Demo (Ma Yi and John Koo)
JAVA demo of Gaussian smoothing (EPFL Biomedical Imaging Group)
Noise Suppression (PDF, Section 4.2.2, pages 7-9) (Machine Vision; David Vernon)
Global iterative approaches (Todd Veldhuizen)
Non-Linear Filters (Young, Gerbrands and van Vliet)
Lee's local statistics filter (Todd Veldhuizen)
Grid Filters for Local Nonlinear Image Restoration (Todd Veldhuizen)
Tutorial and JAVA demo on the median smoothing operator (The HIPR2 team)
Spatial domain smoothing methods (Dave Marshall)
Median Smoothing (Robyn Owens)
Non-Linear Filters (Young, Gerbrands and van Vliet)
Fast Median Search: an ANSI C implementation (Nicolas Devillard)
Java Demo of Mean, Median, MLV, MCV filters with tutorial (Mark A. Schulze)
Median smoothing (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
A Fast Median Search Algorithm (Nicolas Devillard)
Computing 2-Dimensional Min, Median and Max Filters (Joseph Gil and Michael Werman)
Java Demo of Mean, Median, MLV, MCV filters with tutorial (Mark A. Schulze)
Haralick Corner Detector (Paulo Dias)
JAVA demo of exponential smoothing (EPFL Biomedical Imaging Group)
Chapter 9. Computational Vision (PDF Chapter 9 page 248)
Constrained and Unconstrained PDEs for Vector Image Restoration (D. Tschumperle, R. Deriche)
Image smoothing using flow methods controlled by curvature (longer report) (R. Malladi and J. A. Sethian)
Order statistic filters (Todd Veldhuizen)
Savitzky-Golay Filtering for noise reduction and computing numerical derivative (John Krumm)
JAVA demo of spline smoothing (EPFL Biomedical Imaging Group)
Noise suppression (Young, Gerbrands and van Vliet)
Noise suppression (Young, Gerbrands and van Vliet)
Distortion suppression (Young, Gerbrands and van Vliet)
The Wiener filter (Todd Veldhuizen)
Wiener filtration (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Summary and JAVA demo of Wiener filter (EPFL Biomedical Imaging Group)
Basic Image Morphology (Robyn Owens)
Image Regions as Sets (PDF Sec 5.2) (Bryan Morse)
Fundamental Definitions of Morphology-based Operations (Young, Gerbrands and van Vliet)
Demonstrations of Morphological Operations (Roberto Lotufo)
A Java Teaching Aid for Image Morphology (Joe Stapleton and Majid Mirmehdi )
Ad Oculus example of binary morphology (Desok Kim)
Mathematical Morphology (PDF, Section 4.4 pages 16-21) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Part 3.3.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Binary mathematical morphology (Young, Gerbrands and van Vliet)
Boolean Convolution (Young, Gerbrands and van Vliet)
Conditional Dilation (PDF Sec 6.3) (Bryan Morse)
Tutorial and JAVA demo on the binary dilation operator (The HIPR2 team)
Tutorial and JAVA demo on the binary erosion operator (The HIPR2 team)
Dilation/Erosion (Robyn Owens)
Basic Binary Operations (PDF Sec 5.3-5.5) (Bryan Morse)
Dilation and Erosion (Young, Gerbrands and van Vliet)
JAVA demo of dilation/erosion (EPFL Biomedical Imaging Group)
Binary Mathmatical Morphology (PDF section 2.4) (Intelligent Vision Systems for Industry, B.G. Batchelor, P.F. Whelan)
Computational Vision (PDF - (CogNet Access Req.) Part 3.3.2) (Computational Vision, H.A. Mallot, J.S. Allen)
An introduction to soft mathematical morphology (Antonios Gasteratos, Marianna Vardavoulia and Ioannis Andreadis)
Grey-valuemorphological processing: dilate/erode and open/close (Young, Gerbrands and van Vliet)
Mathematical Morphology Operations and Structuring Elements (Antonios Gasteratos)
Ad Oculus example of grayscale morphology (Desok Kim)
Grey Scale Morphology (PDF section 2.5) (Intelligent Vision Systems for Industry, B.G. Batchelor, P.F. Whelan)
Mathematical Morphology Operations and Structuring Elements (Antonios Gasteratos)
JAVA demo of greyscale dilation/erosion (EPFL Biomedical Imaging Group)
Thinning, erosion and dilation (PDF, Section 4.2.3, pages 9-12) (Machine Vision; David Vernon)
Morphological gradient (Young, Gerbrands and van Vliet)
JAVA demo of morphological gradient (EPFL Biomedical Imaging Group)
Morphological Laplacian (Young, Gerbrands and van Vliet)
Mathematical Morphology Operations and Structuring Elements (Antonios Gasteratos)
JAVA demo of greyscale open/close (EPFL Biomedical Imaging Group)
Morphological smoothing (Young, Gerbrands and van Vliet)
Tutorial and JAVA demo on the binary hit and miss operator (The HIPR2 team)
Hit and Miss operation (Young, Gerbrands and van Vliet)
Hit-and-Miss (PDF Sec 5.6) (Bryan Morse)
Binary mathematical morphology (Young, Gerbrands and van Vliet)
Tutorial and JAVA demo on the binary open operator (The HIPR2 team)
Tutorial and JAVA demo on the binary close operator (The HIPR2 team)
Open/Close (Robyn Owens)
Opening and Closing (Young, Gerbrands and van Vliet)
Open, Close (PDF Sec 5.7) (Bryan Morse)
JAVA demo of open/close (EPFL Biomedical Imaging Group)
Opening and Closing (PDF, Section 4.4.4 pages 18-19) (Machine Vision; David Vernon)
Computational Vision (PDF - (CogNet Access Req.) Part 3.3.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Region-Filling/Propagation (Young, Gerbrands and van Vliet)
Tutorial and JAVA demo on the binary thin operator (The HIPR2 team)
Tutorial and JAVA demo on the binary thicken operator (The HIPR2 team)
Thicken, Thin (PDF Sec 6.1) (Bryan Morse)
Grey-value mathematical morphology (Young, Gerbrands and van Vliet)
JAVA demo of top hat (EPFL Biomedical Imaging Group)
Object Counting using a Watershed Transform (Allan Hanbury)
Split and merge algorithm (PDF Sec 18.6) (Bryan Morse)
The watershed transform drainage analogy (Desok Kim)
The 2D and 3D watershed transform and its application to region segmentation (Desok Kim)
The watershed transform immersion analogy (Desok Kim)
A fast watershed transform (Desok Kim)
Basic and Meyer's Watershed Transform (Desok Kim)
Marker-Based Watershed Transform with Lots of Applications (Serge Beucher)
Watershed Segmentation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Tutorial and JAVA demo on the pixel classification operator (The HIPR2 team)
Arithmetic-based operations (Young, Gerbrands and van Vliet)
Tutorial and JAVA demo on the pixel addition operator (The HIPR2 team)
Tutorial and JAVA demo on the image bitshift operator (The HIPR2 team)
Tutorial and JAVA demo on the image blending operator (The HIPR2 team)
Tutorial and JAVA demo on the pixel division operator (The HIPR2 team)
Tutorial and JAVA demo on the pixel multiplication operator (The HIPR2 team)
Tutorial and JAVA demo on the pixel subtraction operator (The HIPR2 team)
Binary operations (Young, Gerbrands and van Vliet)
Tutorial and JAVA demo on the image AND operator (The HIPR2 team)
Tutorial and JAVA demo on the image invert/negate operator (The HIPR2 team)
Tutorial and JAVA demo on the image OR operator (The HIPR2 team)
Tutorial and JAVA demo on the image XOR operator (The HIPR2 team)
Grey scale manipulation (Robyn Owens)
Point Operations (PDF, Section 4.1, pages 1-5) (Machine Vision; David Vernon)
Tutorial and JAVA demo on the adaptive threshold operator (The HIPR2 team)
Binocular Stereo Algorithm Based on the Disparity-Gradient Limit and Using Optimization Theory (PDF chapter 4) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Implementation Details of the PMF Stereo Algorithm (PDF chapter 3) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Applying Greyscale Transformations to Colour Images (Robyn Owens)
Tutorial and JAVA demo on the pixel logarithm operator (The HIPR2 team)
Tutorial and JAVA demo on the pixel exponential operator (The HIPR2 team)
Gamma Correction (Computer Graphics Systems Development Corporation)
Tutorial and JAVA demo on the thresholding operator (The HIPR2 team)
Thresholding explanation and JAVA example (Andrew Fitzgibbon)
Thresholding (Young, Gerbrands and van Vliet)
Thresholding Demo (Ma Yi and John Koo)
Thresholding (PDF Sec 4.1-4.3,4.6) (Bryan Morse)
Hierarchical Thresholding (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Chapter 9. Computational Vision (PDF Chapter 9 page 245-246)
Edge image thresholding (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Multispectral thresholding (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Multi-Spectral Thresholding (PDF Sec 4.5) (Bryan Morse)
Viewpoint-Invariant Reconstruction of Visible Surface (PDF Chapter 13 section 2,3) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Invariant Surface Reconstructions Using Weak Continuity Constrains (PDF chapter 14) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Threshold detection methods (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Threshold Selection (PDF Sec 4.4) (Bryan Morse)
Segmentation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Background Subtraction (PDF, Section 3.2.3, page 10) (Computer Vision, Dana Ballard and Christopher Brown)
Chapter 9. Computational Vision (PDF Chapter 9 page 263-279)
General Comments on Image Processing (Dave Marshall)
Characteristics of Image Operations (Young, Gerbrands and van Vliet)
Basic theory of Linear Discrete Image Transforms (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Applications of orthogonal image transforms (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Optical Flow-based Tracking (PDF page 47) (Vincent Lepetit and Pascal Fua)
Median Flow Filtering (Bob Fisher)
Non-parametric background subtraction (Ahmed Elgammal, David Harwood, Larry Davis)
Polyhedral world line labeling (Dave Marshall)
Line drawings and line labeling (Robyn Owens)
Labeling Lines (PDF, Section 9.5.3, page 6) (Computer Vision, Dana Ballard and Christopher Brown)
Occlusion Understanding and Recovery (Umberto Castellani and Salvatore Livatino)
Surface Completion (Bob Fisher)
Grouping and non-accidental properties (Andrew Wallace and Sarah Price)
Pixel classification based on Machine Learning techniques (Shashi Buluswar)
Scene labeling and constraint propagation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Description of the scene labelling problem (Andrew Wallace and Sarah Price)
Visual Interpretation and Understanding (Hilary Buxton, Bernd Neumann and ECVNet)
Reconstruction of planar surfaces behind occlusions in range images (Fabio Dell'Acqua, Robert Fisher)
Improving Environment Modelling by Edge Occlusion Surface Completion (U. Castellani, S. Livatino, R. B. Fisher)
Non-parametric 3D Surface Completion (T. P. Breckon, R. B. Fisher)
Amodal Volume Completion: 3D visual completion (T. P. Breckon, R. B. Fisher)
Attentional Selection of Objects of Interest (Thomas Geerinck)
The Saliency of Curves (Michael Lindenbaum)
The Scary World of Linescan! (Firstsight Vision Ltd)
Scary Linescan Part Two. Colour Linescan (Firstsight Vision Ltd)
Ultraviolet Imaging 101 (Firstsight Vision Ltd)
Hyperspectral Sensors (Bob Fisher)
Frame Stores (Dave Marshall)
An overview of intensity images (Helmut Cantzler)
Sensor Linearity (Young, Gerbrands and van Vliet)
Sensor Sensitivity (Young, Gerbrands and van Vliet)
Sensor SNR (Young, Gerbrands and van Vliet)
Sensor Shading (Young, Gerbrands and van Vliet)
Sensor Pixel Form (Young, Gerbrands and van Vliet)
Sensor Spectral Sensitivity (Young, Gerbrands and van Vliet)
Sensor Shutter Speeds (Integration Time) (Young, Gerbrands and van Vliet)
Sensor Readout Rate (Young, Gerbrands and van Vliet)
Silicon photodiode spectral response (PDF Ch 2) (Alex Ryer - International Light)
Choosing a Detector (PDF Ch 10) (Alex Ryer - International Light)
2D Input Devices (Dave Marshall)
How color cameras work (PDF) (The Imaging Source)
2D Input Devices (Dave Marshall)
3 Chip or not 3 Chip, That is the Question! (Firstsight Vision Ltd)
Application note: Mosaic Filters (Firstsight Vision Ltd)
Three-dimensional Imaging (Andrew Wallace and Sarah Price)
Introduction to Depth Maps (Dave Marshall)
Why use 3D data? (Dave Marshall)
Methods of 3D Data Acquisition (Dave Marshall)
An overview of range images (Helmut Cantzler)
Three-dimensional vision using structured light (PDF, Section 8.7, pages 24-26) (Machine Vision; David Vernon)
LADAR sensors and target detection applications (Johnson Consulting)
Methods of 3D Data Acquisition (Dave Marshall)
Microscopic Moire Interferometry (T. W. Shield)
Laser Ranging using Time of Flight (Andrew Wallace and Sarah Price)
LADAR sensor data (Johnson Consulting)
Laser Ranging using Triangulation (Andrew Wallace and Sarah Price)
Methods of 3D Data Acquisition (Dave Marshall)
Structured Light Vision (PPT) (David Fofi)
A Tutorial on Catadioptric Image Formation (Simon Baker and Shree K. Nayar)
Omnidirectional Vision (Libor Spacek)
Example of an unrectified fish-eye lens image (Jean-Marc Lavest)
Example of an rectified fish-eye lens image (Jean-Marc Lavest)
Time-of-flight ultrasonic sensor (Jose Carmena)
Video Standards Parameters (Young, Gerbrands and van Vliet)
Human eye spectral response (PDF Ch 2) (Alex Ryer - International Light)
Illumination and Sensors (PDF) (Machine Vision; David Vernon)
A survey of image registration techniques (abstract) (Lisa Gottesfeld Brown)
Code for various scanner image registration modealities (Roger P. Woods)
Survey of Medical Image Registration (PDF) (J. B. Antoine Maintz and Max Viergever)
Disparity Gradient, Lipschitz Continuity and Computing Binocular Correspondences (PDF chapter 2 section 2) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Image Matching by Maximisation of Mutual Information (Sebastien Gilles)
Image Registration (PDF section 5.6) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Model Building from 3D Surface Measurements/Registration (Adrian Hilton)
Model Building from 3D Surface Measurements/Fusion (Adrian Hilton)
Examples of Implicit Surface Based Geometric Fusion (Adrian Hilton)
Registration and Fusion of Range Images (Bob Fisher)
Colour Texture Fusion of Range Images (Alexander Agathos)
Automatic 3D Modeling Results (Ajmal Saeed Mian)
Reaction-Diffusion filtering (Thomas Deschamps)
Mutual Information for Evidence Fusion (Hannes Kruppa and Bernt Schiele)
Information fusion for decision making (PDF Sec 2) (Isabelle Bloch)
Model Building from 3D Surface Measurements (Adrian Hilton)
Viewpoint Planning for 3D Object Surface Coverage (Dave Marshall)
An Introduction to the Kalman Filter (Greg Welch and Gary Bishop)
Kalman Filter Reference (Greg Welch and Gary Bishop)
Data fusion statistics (PDF file. pg 21) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Parameter based representation (Andrew Wallace and Sarah Price)
Curve Representation Coordinate Systems (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Contour oriented region representation (Patrick Brigger)
Curves vs Skeletons in Object Recognition (T.B. Sebastian, B.B. Kimia)
Line moments and invariants (PDF pg 2.16) (Volodymyr Kindratenko)
Chain Codes (Andrew Wallace and Sarah Price)
Chain Codes (PDF Sec 3.3) (Bryan Morse)
Chain Codes and Variants (Differential, Smoothing) (PDF Sec 7.4) (Bryan Morse)
Chain coding and its properties (Young, Gerbrands and van Vliet)
Chains (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Chain codes (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Tangent angle functions (PDF pg 2.11) (Volodymyr Kindratenko)
Curvature morphology (F. Leymarie, M.D. Levine)
Chain code (I.T. Young, J.J. Gerbrands, L.J. van Vliet)
Introduction to Chain Codes (The Mind Project)
Traditional image data structures (J.A. Dickerson)
Chain Codes (PDF, Section 8.2.2, page 8) (Computer Vision, Dana Ballard and Christopher Brown)
External space domain descriptors: spatial organization of the boundary (PDF, Section 7.4, pages 3-6) (Machine Vision; David Vernon)
Tutorial on parameter estimation and conic fitting (Zhengyou Zhang)
Conics, quadrics, and superquadrics (Neil Dodgson)
Conic Sections (PDF, Section 8.2.5, page 12) (Computer Vision, Dana Ballard and Christopher Brown)
Conics (Silvio Levy and the University of Minnesota's Geometry Center)
Conic section parameterization (Jonathan B. Steidel)
Contour parametric and contour complex functions (PDF pg 2.9) (Volodymyr Kindratenko)
Invariant contour function properties (PDF pg 2.15) (Volodymyr Kindratenko)
Crack codes (Young, Gerbrands and van Vliet)
Cross Section Functions (PDF pg 2.2) (Volodymyr Kindratenko)
On Using Functions to Describe the Shape (V.V. Kindratenko)
Curvature Scale Space and Database Indexing (Farzin Mokhtarian)
Affine Transform and the Curvature Scale Space (Farzin Mokhtarian and Sadegh Abbasi)
Shape curvature scale space representation (PDF pg 2.30) (Volodymyr Kindratenko)
Partitioning range images using curvature and scale (A. Lejeune, F.P. Ferrie)
The Topological Structure of Scale-Space Images (L. Florack, A. Kuijper)
Demo and pointers to direct least square fitting (Maurizio Pilu and Andrew Fitzgibbon)
Matlab code for direct least square fitting (Bob Fisher)
Fitting Circles and Ellipses to Data Using the Least-Squares Method (Marc Renault)
Least-Squares Fitting of Circles and Ellipses (PDF) (Walter Gander, Gene H. Golub, Rolf Strebel)
Fourier transforms of boundaries (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Fourier analysis of contour fucntions (PDF pg 2.21) (Volodymyr Kindratenko)
Shape Retrieval Using Fourier Descriptors (D. Zhang, G. Lu)
The encoding and fourier descriptors of arbitrary curves in 3-dimensional space (P. Bose)
Content-based image retrieval using fourier descriptors on a logo database (A. Folkers, H. Samet)
Fourier Descriptors (PDF, Section 8.2.4, page 11) (Computer Vision, Dana Ballard and Christopher Brown)
Intrinsic equations (PDF pg 2.13) (Volodymyr Kindratenko)
Homogeneous Point and Line Representations (Paul Beardsley)
Lines in the Plane and Incidence (Roger Mohr and Bill Triggs)
Representing lines (Dave Marshall)
2D Lines (Silvio Levy and the University of Minnesota's Geometry Center)
3D Lines (Silvio Levy and the University of Minnesota's Geometry Center)
Line representation (PDF) (N. Andreff, B. Espiau, R. Horaud)
Lines (PDF, Section A1.5, page 10) (Computer Vision, Dana Ballard and Christopher Brown)
Line moments and invariants (PDF pg 2.16) (Volodymyr Kindratenko)
Phi-S curve (Andrew Wallace and Sarah Price)
Phi-S and R-S Curves (PDF Sec 7.4.6-7) (Bryan Morse)
Tangent angle functions (PDF pg 2.11) (Volodymyr Kindratenko)
Invariant contour function properties (PDF pg 2.15) (Volodymyr Kindratenko)
The Ψ-s Curve (PDF, Section 8.2.3, page 10) (Computer Vision, Dana Ballard and Christopher Brown)
Boundary description using segment sequences (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Polylines (PDF, Section 8.2.1, page 5) (Computer Vision, Dana Ballard and Christopher Brown)
Radius Vector Functions (PDF pg 2.4) (Volodymyr Kindratenko)
Invariant contour function properties (PDF pg 2.15) (Volodymyr Kindratenko)
Chord Distribution (PDF Sec 7.6.4) (Bryan Morse)
Signature (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
2D Deformable Template Models: A Review (Yu Zhong)
Active or Flexible Contour Models (Andrew Wallace and Sarah Price)
Active Contour Models (Snakes) (David Young)
Active contours (Joachim Denzler)
Radial representation of active contours (Joachim Denzler)
Snakes: an active model (Ramani Pichumani)
Gradient Vector Flow Snakes (Chenyang Xu and Jerry L. Prince)
JAVA Snake Demo (Mark A. Schulze)
Active Contours (Snakes) (PDF Sec 21.3) (Bryan Morse)
Active contour models - snakes (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Diffusion Snakes: Statistical Shape Knowledge in Mumford-Shah Based Segmentation (Daniel Cremers, Christoph Schnorr and Joachim Weickert)
Active Contour Models: Snakes (Bob Sumner)
Active contours theory (M. Lifshits)
On the Relationship between Parametric and Geometric Active Contours (C. Xu, A. Yezzi, J.L. Prince)
Facial Features (D.M. Gavrila)
Snakes (University of Manchester)
Piecewise Polynomials (Splines) (Andrew Wallace and Sarah Price)
B-spline representation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Splines: Representations of 2D and 3D Curved Surfaces (G. Scott Owen)
Surface Reconstruction from Multiple Views using Rational B-Splines (PDF) (Matheen Siddiqui, Stan Sclaroff)
Splines (PDF) (Frank Pfenning)
Splines: a perfect fit for medical imaging (PDF) (Michael Unser)
Splines: A Perfect Fit for Signal/Image Processing (PDF) (Michael Unser)
An Interactive Introduction to Splines (Evgeny Demidov)
B-Splines (PDF, Section 8.2.6, page 12) (Computer Vision, Dana Ballard and Christopher Brown)
Bernstein-basis curves and sculptured surfaces (Adrian Bowyer, University of Bath)
Bezier Curves (Adam Duguid)
Survey: interpolation methods in medical image processing (PDF) (Thomas Lehmann)
About Nonuniform Rational B-Splines - NURBS (Markus Altmann)
Support Functions (PDF pg 2.6) (Volodymyr Kindratenko)
Torsion Scale Space Demo (Farzin Mokhtarian)
Multiscale shape analysis using continuous wavelet transform (PDF pg 2.28) (Volodymyr Kindratenko)
Width Functions (PDF pg 2.8) (Volodymyr Kindratenko)
Invariant contour function properties (PDF pg 2.15) (Volodymyr Kindratenko)
Non-linear Point Distribution Models (Richard Bowden)
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation (Daniel Cremers, Timo Kohlberger, Christoph Schnorr)
Statistical Shape Models (Tim Cootes)
Point Density Models) (PDF Sec 21.4) (Bryan Morse)
Point distribution models (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Structured Point Distribution Models: Modelling Intermittently Present Features (M. Rogers, J. Graham)
Independent Modes of Variation in Point Distribution Models (M. Bressan, J. Vitria)
3D Point Distribution Models of the Cortical Sulci (A. Caunce, C.J. Taylor)
Region Representation (Andrew Wallace and Sarah Price)
Shape Representation for Image Retrieval (Marinette Bouet, Ali Khenchaf, Henri Briand)
Shape representation and description: Region-based shape representation and description (Milan Sonka, Vaclav Hlavac, Roger Boyle)
Region Representations (PDF, Section 8.3, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Graph representation based on region skeleton (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Shape description of three-dimensional images based on medial axis (A. Bonnassie, F. Peyrin, D. Attali)
Medial Axis for Point Clouds (T.K. Dey)
Cut Locus and Medial Axis in the Euclidean Space and on Surfaces (F.-E. Wolter)
SMA: An Approximate, Simplified Medial Axis (M. Foskey, M.C. Lin, D. Manocha)
Medial Axis Representations for the Analysis of Human Shape in Images (C. Kemp)
Medial Axis Transform (PDF, Section 8.3.4, page 6) (Computer Vision, Dana Ballard and Christopher Brown)
Internal space domain descriptors: spatial organization of the region (PDF, Section 7.5, pages 6-8) (Machine Vision; David Vernon)
Skeletons (Robyn Owens)
Skeletonization (Kalman Palagyi)
Skeletons for representation and reasoning in engineering applications (W.R. Quadros, B. Gurumoorthy, K. Ramaswami, F.B. Prinz)
Statistical shape analysis using fixed topology skeletons: Corpus callosum study (P. Golland, W. Eric L. Grimson, R. Kikinis)
Curves vs Skeletons in Object Recognition (T.B. Sebastian, B.B. Kimia)
Internal space domain descriptors: spatial organization of the region (PDF, Section 7.5, pages 6-8) (Machine Vision; David Vernon)
Convex Hulls (PDF Sec 7.6.6) (Bryan Morse)
Convex hull (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Andrew's Convex Hull Algorithm Demo (A.K.L. Miu)
Region neighborhood graphs (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Region adjacency and Dual graph (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Graph representation based on region skeleton (Milan Sonka, Vaclav Hlavac, Roger Boyle)
Combined Appearance Models (Tim Cootes)
Grey model fitting (Neil Thacker and Tim Cootes)
Shape in digital grey-level volume images (S. Svensson)
Quad-trees (Andrew Wallace and Sarah Price)
Quadtrees (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Picture representation using quad trees (P. Carbonetto)
Hierarchical data structures (J.A. Dickerson)
Spatial Occupancy Array (PDF, Section 8.3.1, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Quad Trees (PDF, Section 8.3.3, page 3) (Computer Vision, Dana Ballard and Christopher Brown)
Profiles and their Moments(PDF Sec 9.7, 9.8.3) (Bryan Morse)
Projections (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Segmentation & Registration for Microscopy Imaging (Thomas Deschamps)
Run-length Coding (Andrew Wallace and Sarah Price)
Run codes (Young, Gerbrands and van Vliet)
Run-length Encoding (PDF Sec 3.4) (Bryan Morse)
Run length coding (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Run Length Encoding (PDF, pg 1) (Bruce Draper and J. Ross Beveridge)
Traditional image data structures (J.A. Dickerson)
Image data compression Run length coding (B. Neumann)
Image Matching Using Run-Length Feature (Y.-K. Chan, C.-C. Chang)
Direct Linear Transformation (PDF page 15) (Vincent Lepetit and Pascal Fua)
Noise-resistant affine-invariant skeletons (Santiago Betelu, Guillermo Sapiro, Allen Tannenbaum and Peter Giblin)
Region decomposition (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Decomposing Complex Regions (PDF, Section 8.3.5, page 7) (Computer Vision, Dana Ballard and Christopher Brown)
Region adjacency graphs and relational structures (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Traditional image data structures (J.A. Dickerson)
Image Trees (PDF Sec 3.5.2) (Bryan Morse)
A Survey of Free-Form Object Representation and Recognition Techniques (PDF) (Richard J. Campbell, Patrick J. Flynn)
Surface shape and definitions (Andrew Wallace and Sarah Price)
Representations of Three-Dimensional Structures (PDF) (Computer Vision, Dana Ballard and Christopher Brown)
3D Object Representation (Bob Fisher)
Dupin's Cyclide and the Cyclide Patch (PDF Chapter 22) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Curvature-sign Patch Classification (Andrew Wallace and Sarah Price)
Patch Classification (PDF Sec 11.4.5) (Bryan Morse)
Boundary representation (Dave Marshall)
Surface with Faces (PDF, Section 9.2.1, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
Boundary Representation (or B-rep) Models (Adrian Bowyer, University of Bath)
Curvature-sign Patch Classification (Andrew Wallace and Sarah Price)
Automated surface extraction using deformable meshes (Jussi Tohka)
Shape Reconstruction (Ye Duan, Liu Yang, Hong Qin, Dimitris Samaras)
Adaptive Triangulation of Range Images (Miguel Garcia and Angel Sappa)
Object Centred Representations (Amin Massad, Baerbel Mertsching, Steffen Schmalz)
Representing 3 Dimensional Solid Objects (Andrew Wallace and Sarah Price)
Volumetric Representations (PDF, Section 9.4, page 7) (Computer Vision, Dana Ballard and Christopher Brown)
Three-dimensional models (PDF, Section 9.3.4, pages 8-10) (Machine Vision; David Vernon)
Global 3D shape representations (PDF, frames 7-35) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
Volumetric Representations (Andrew Wallace and Sarah Price)
Set-theoretic modelling (Dave Marshall)
Constructive Solid Geometry (Neil Dodgson)
Set-theoretic or Constructive-solid-geometry Modellers (Adrian Bowyer)
Constructive Solid Geometry (PDF, Section 9.4.3, page 9) (Computer Vision, Dana Ballard and Christopher Brown)
Extended gaussian images (Dave Marshall)
Generalized Cylinders (Robyn Owens)
Generalized Cylinders (Ramani Pichumani)
Generalized Cylinder Representations (PDF, Section 9.3, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Cross-sectional Models and Ducts (Adrian Bowyer, University of Bath)
Divergence-Based Medial Surfaces (Sylvain Bouix and Kaleem Siddiqi)
Conics, quadrics, and superquadrics (Neil Dodgson)
Conics, quadrics, and superquadrics (Neil Dodgson)
Superquadrics and their Geometric Properties (PDF) (Ales Jaklic, Ales Leonardis, Franc Solina)
References on Superquadrics (PDF) (Franc Solina)
Surface Boundary Representations (Andrew Wallace and Sarah Price)
Volumetric Representations (PDF File Sec 2) (Charles Dyer, from "Foundations of Image Analysis", L. S. Davis (Ed), Kluwer, 2001.)
Spatial Occupancy (PDF, Section 9.4.1, page 7) (Computer Vision, Dana Ballard and Christopher Brown)
Spherical extent + Ankherst's Shells (PDF, frames 11-12) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
Wire Frame Representations (Andrew Wallace and Sarah Price)
Wireframe models (Dave Marshall)
Understanding Line Drawings (PDF) (Computer Vision, Dana Ballard and Christopher Brown)
Wire-frame 'models' (Adrian Bowyer, University of Bath)
Relation Graphs (PDF Sec 3.6) (Bryan Morse)
Region Adjacency Graph (Bob Fisher)
2D Deformable Template Models: A Review (Yu Zhong)
Active Appearance Models (Tim Cootes)
Light Field Appearance Manifolds (C. Mario Christoudias, Louis-Philippe Morency, Trevor Darrell)
Active Shape Models (Tim Cootes)
Active shape model location (Neil Thacker and Tim Cootes)
Example of learning deformable shapes using a Kohonen net (page 2) (David Hogg)
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation (Daniel Cremers, Timo Kohlberger, Christoph Schnorr)
Deformable Spatio-Temporal Shape Models (Ghassan Hamarneh)
Corner detection and blob detection (Tony Lindeberg)
(Wikipedia)
Harris color points of interest (Philippe Montesinos and Valerie Gouet)
Image-Based Rendering of Environments (Anthony Ashbrook)
Plenoptic model (Marc Pollefeys)
Light Field Appearance Manifolds (C. Mario Christoudias, Louis-Philippe Morency, Trevor Darrell)
Shape classes (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Utilizing Temporal Associations (Amin Massad, Baerbel Mertsching, Steffen Schmalz)
Dupin's Cyclide and the Cyclide Patch (PDF Chapter 22) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
General representation issues (Robyn Owens)
General modelling issues (Robyn Owens)
Levels of image data representation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Levels of image data representation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Chapter 3 The Representation of Knowledge (PDF Chapter 3 page 74)
Chapter 3 The Representation of Knowledge (PDF Chapter 3 page 77-80)
Levels of image data representation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Levels of image data representation (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Viewer Centred Representations Introduction (Andrew Wallace and Sarah Price)
Viewer Centred Representations (Amin Massad, Baerbel Mertsching, Steffen Schmalz)
Aspect Graphs: Basic Concepts (Andrew Wallace and Sarah Price)
Aspect graphs (Robyn Owens)
Characteristic Views (Philip Worthington, Benoit Huet and Edwin Hancock)
Automatic Selection of Optimal Views in Multi-View Object Recognition (Farzin Mokhtarian)
3D Object Recognition Using Shape Similiarity-Based Aspect Graph (PDF) (Christopher M. Cyr, Benjamin B. Kimia)
A Similarity-based Aspect-Graph Approach to 3D Object Recognition (Christopher M. Cyr)
In Search of 'Characteristic View' 3D Object Representations in Human Vision Using Ratings of Perceived Differences Between Views (PDF Chapter 27) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
A Survey of Aspect Graphs (Robert D. Schiffenbauer)
Approximate techniques (Andrew Wallace and Sarah Price)
General comments on shape representation and description (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Knowledge Representation and Use (PDF, Section 10, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Visual representations (PDF, Section 9.3, pages 3-10) (Machine Vision; David Vernon)
Advances in 3D Model Identification from Stereo Data (PDF chapter 21 pages 191-193) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Chapter 9. Computational Vision (PDF Chapter 9 page 278-281)
Chapter 9. Computational Vision (PDF Chapter 9)
Chapter 9. Computational Vision (PDF Chapter 9 page 240-241)
Gaussian Smoothing and Scale Space (David Young)
Scale-space representation: Definition and basic ideas (Tony Lindeberg)
Scale-Space (From Ency. of Computer Science and Engineering) (Tony Lindeberg)
Axiomatic scale-space formulations (Tony Lindeberg)
Automatic scale selection (for Edges, Ridges, Corners and Blobs) (Tony Lindeberg)
Scale in image processing (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
Scale-space representation: Definition and basic ideas (Tony Lindeberg)
Multi-Scale Free-Form Surface Description (Farzin Mokhtarian)
Scale space (Wikipedia)
Weak Continuity Constrains Generate Uniform Scale-Space Descriptions of Plane Curves (PDF chapter 16 section 3) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Multiple Illuminant Estimation (Yang Wang and Dimitris Samaras)
Detecting Specular Reflections Using Lambertian Constraints (PDF chapter 17 section 2 and 3) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Diffusion Snakes: Statistical Shape Knowledge in Mumford-Shah Based Segmentation (Daniel Cremers, Christoph Schnorr and Joachim Weickert)
Chapter 9. Computational Vision (PDF Chapter 9 page 281-286)
The Fuzzy-k-Means Procedure (Richard O. Duda)
Algorithms for Clustering Data (PDF section 3.3.8) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
The k-Means Procedure (Richard O. Duda)
K-Means Clustering Algorithm (George Mason University, Fairfax, Virginia)
Feature Selection and Clustering for HCI (Richard O. Duda)
K-Means Clustering (Brian T. Luke)
K-means procedure (Alan Fielding)
Clustering (Richard O. Duda)
Clustering Overview (Helmut Cantzler)
Cluster Analysis (StatSoft, Inc.)
Notes on Cluster Analysis (Stanley Louis Sclove)
K-means and Hierarchical Clustering (Andrew Moore)
Course Notes on Clustering (Edward A. Fox)
Data Clustering and Its Applications (Raza Ali, Usman Ghani, Aasim Saeed)
Algorithms for Clustering Data (PDF) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Information Theory, Inference, and Learning Algorithms (PDF chapter 22) (Information Theory, Inference, and Learning Algorithms, D. Mackay)
Self-organizing feature maps (Richard O. Duda)
Feature Selection (Richard O. Duda)
Using geometric clues in 3D reconstruction from from a single view (Etienne Grossman and José Santos Victor)
Shape from Shadow (Yizhou Yu)
Nottingham Image Processing Environment (Jonathan Green)
Comparametric Equations (Steve Mann)
Image functions (Milan Sonka, Vaclav Hlavac, and Roger Boyle)
The Marching Cubes (Diane Lingrand)
Surface Fitting Techniques (Roberto Scopigno)
Surface-fitting Algorithms (G. Scott Owen)
Support vector machine (Wikipedia)
Introduction to High Level Vision (Word document) (Bernd Neumann)
Chapter 9. Computational Vision (PDF Chapter 9 page 281-286)
XVision2 - application independent set of tools for visual feature tracking (Darius Burschka)
Automated surface extraction using deformable meshes (Jussi Tohka)
Automated surface extraction using deformable meshes (Jussi Tohka)
Maximum likelihood statistical methods (PDF file. pg 9) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Binary likelihood formulations (PDF file. pg 10) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Poisson and Gaussian likelihood formulations (PDF file. pg 10) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Maximum Likelihood (pg 14) (P. Courtney, N. A. Thacker)
Information Theory, Inference, and Learning Algorithms (PDF chapter 22) (Information Theory, Inference, and Learning Algorithms, D. Mackay)
Covariance Estimation (PDF file. pg 12) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Equal variance transforms (PDF file. pg 14) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Eigensapce & Covariance (PDF, pg 2-6) (Bruce Draper and J. Ross Beveridge)
Receivor Operating Curves (ROC) (PDF file 23) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Hypothesis testing (PDF file. pg 19) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
ANOVA - Analysis of variance (Jamie Shutler)
Use of distribution modes (PDF file. pg 16) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Honest probabilities (PDF file. pg 20) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
An Empirical Design Methodology for the Construction of Machine Vision Systems (PDF file. pg 3) (N. A. Thacker, A. J. Lacey, P. Courtney, G. S. Rees)
Subpixel corner detection (PS file. See pg 8 / Section 2.1) (Philip Torr)
MAPSAC (PS file. See pg 44 / Section 5.3) (Philip Torr)
Skeletal Scintigraphy (Dr. Amilcare Gentili)
Temporal Factorization (Lihi Zelnik}
Steerable Pyramids (Eero Simoncelli)
Skeletal Bone Age Assessment (Concetto Spampinato)
Chapter 4. Reasoning and Problem Solving (PDF Chapter 4 page 106-108)
Chapter 9. Computational Vision (PDF Chapter 9)
Pinhole and Thin Lens Camera Models (PDF, pg4) (Bruce Draper and J. Ross Beveridge)
Camera Parameters - Maximizing Image Quality (The Imaging Source Network)
Chromatic Aberration (PDF, pg 6) (Bruce Draper and J. Ross Beveridge)
Specular Reflectance (PDF, pg 2-3) (Bruce Draper and J. Ross Beveridge)
Specular Reflection (Wikipedia)
Detecting Specular Reflections Using Lambertian Constrains (PDF chapter 17) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Phong Reflectance (PDF, pg 2) (Bruce Draper and J. Ross Beveridge)
Phong Reflectance (PDF, pg 3) (Bruce Draper and J. Ross Beveridge)
Low Pass Filtering (PDF, pg 4) (Bruce Draper and J. Ross Beveridge)
Computational Vision (PDF - (CogNet Access Req.) Part 8.4.3) (Computational Vision, H.A. Mallot, J.S. Allen)
Image Alignment and Stitching: A Tutorial (Richard Szeliski)
Robust Voting Algorithm Based on Labels of Behavior for Video Copy Detection (Julien Law-To, Olivier Buisson, Valerie Gouet-Brunet, Nozha Boujemaa)
Multivariate Normal Distribution (PDF, pg 2-4) (Bruce Draper and J. Ross Beveridge)
Gaussian Distribution Comparison (Ali Shahrokni, Tom Drummond and Pascal Fua)
Information Theory, Inference, and Learning Algorithms (PDF chapter 23.2) (Information Theory, Inference, and Learning Algorithms, D. Mackay)
Eigenspace 1 (PDF, pg 1-6) (Bruce Draper and J. Ross Beveridge)
Eigenspace 2 (PDF, pg 1-5) (Bruce Draper and J. Ross Beveridge)
Structural Feature Matching/What is a feature (PDF, pg 2) (Bruce Draper and J. Ross Beveridge)
Aspect Graphs and Matching (PDF, pg 1-2) (Bruce Draper and J. Ross Beveridge)
The Laplacian Pyramid (Morgan Brown)
Image Compression Based on Laplacian Pyramids (Technical University Graz)
Computational Vision (PDF - (CogNet Access Req.) Part 3.4.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Light Sources (Leonard McMillan)
Light Sources (Leonard McMillan)
A Standard Spatial Observer (Andrew Watson and Cesar Ramirez)
Statistical moments - An introduction (Jamie Shutler)
The moment generating function (Jamie Shutler)
Relating Zernike and Cartesian moments (Jamie Shutler)
Moment noise sensitivity (Jamie Shutler)
Internal scalar transform descriptors: features of the region (PDF, Section 7.3, pages 2-3) (Machine Vision; David Vernon)
Legendre moments (Jamie Shutler)
Orthogonal Moments (Jamie Shutler)
Devanagari Script Recognition (Suryaprakash Kompalli)
Neural Network Classifiers for Optical Chinese Character Recognition (Richard Romero, Robert Berger, Robert Thibadeau, and Dave Touretsky)
Spin Images: A Representation for 3-D Surface Matching (Andrew E. Johnson)
Spin-Images: A Representation for 3-D Surface Matching (A.E. Johnson)
Recognizing Objects by Matching Oriented Points (A.E. Johnson, M. Hebert)
Resolution independent spin-images (D. Huber)
Splashes (Andreas Pichler)
Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification (Eric Wahl, Ulrich Hillenbrand, Gerd Hirzinger)
Local 3D shape representations (PDF, frames 36-45) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
Robust Wide Baseline Stereo from Maximally Stable Extremal Regions (Jiri Matas, Ondrej Chum, M. Urban, Tomas Pajdla)
Local Affine Frames for Wide-Baseline Stereo (Jiri Matas, Stepan Obdrzalek, Ondrej Chum)
Superellipse and Superellipsoid (Paul Bourke)
Superellipse (Eric W. Weisstein)
Superellipse (Delft University of Technology, Department of Applied Physics, Centre for Image Processing)
Superquadrics based 3D object representation of automotive parts utilizing part decomposition (Y. Zhang, A. Koschan, M. Abidi)
3D squeletonization algorithms (Zouina Aktouf, Gilles Bertrand, Christophe Lohou)
Skeletonization (Kalman Palagyi)
Unwinding the Colon (Nikhil Gagvani)
Faithful recovering of quadric surfaces from 3D range data (PDF) (Naoufel Werghi, Robert Fisher, Anthony Ashbrook, Craig Robertson)
Quadric Surfaces (Sudhir R Kaushik)
Identifying Quadric Surfaces (Tim Chartier)
Quadric fitting (Olli T Jokinen)
Curvature based range image classification for object recognition (PDF) (Jan Boehm, Claus Brenner)
Algebraic Topology (Eric W. Weisstein, Wolfram Research Inc.)
Thin Plate Spline (Eric W. Weisstein, Wolfram Resarch Inc.)
Thin-plate spline (programs) (F. James Rohlf)
Thin-plate spline modelling of elastic deformations in fingerprints (PDF) (Asker M. Bazen, Sabih H. Gerez)
Properties of the Weak String and Membrane (PDF chapter 4) (Visual reconstruction, A. Blake, A. Zisserman)
Description of Complex Objects from Multiple Range Images Using an Inflating Balloon Model (PDF) (Yang Chen, Gerard Medioni)
Active Contours in Three Dimensions (Jorgen Ahlberg)
A Comparative Study of Active Contour Models for Boundary Detection in Brain Images (PDF) (Vedad Hadziavdic)
A Hybrid hyperquadric model for 2-D and 3-D data fitting (Cohen Issac, Cohen Lauren D.)
Iris Recognition Homepage (Jan Ernst)
A Knowledge-Based Approach to Video Content Classification (PDF) (Y. Chen, E.K. Wong)
Knowledge-based Image Understanding (PDF) (Linying Su, Bernadette Sharp, Claude Chibelushi)
Knowledge Representation - Production Rules for Knowledge Representation (Paul Lewis)
Persistence-Based Production Rules for On-Board Satellite Automation (PDF) (Michael A. Swartwout, Christopher A. Kitts, Rajesh K. Batna)
Production Rules in Parallel and Distributed Database Environments (PDF) (Stefano Ceri, Jennifer Widom)
Chapter 3 The Representation of Knowledge (PDF Chapter 3 page 74)
Chapter 7. Expert/Knowledge-Based Systems (PDF Chapter 7 page 192)
A Survey of Unstructured Mesh Generation Technology (Steve Owen)
Tetrahedra Mesh Generation Software (Steven J. Owen)
3D Feature Extraction for Unstructured Grids (D. Silver)
Modelling for Vision (Duncan Gillies)
Semantic Nets (PDF, Section 10.2, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Semantic Net Examples (PDF, Section 10.3, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Knowledge Based Interpretation of Aerial Images and Maps Using a Digital Landscape Model as Partial Interpretation (PDF) (Hans Koch, Kian Pakzad, Ralf Toenjes)
Agent-Based Engineering Drawing Analysis (PDF) (Thomas Henderson, Lavanya Swaminathan)
Reasoning with Semantic Nets (Mike Sharples et al)
Semantic Nets (Dave Marshall)
Picture Interpretation: A Symbolic Approach (PDF section 2.1.2) (Picture Interpretation: A Symbolic Approach, S. Dance, Z.Q. Liu, T.M. Caelli)
Chapter 9. Computational Vision (PDF Chapter 9 page 284)
A Multi-Resolution Image Understanding System Based on Multi-Agent Architecture for High Resolution Images (PDF) (Keji Yanai, Koichiro Deguchi)
Simple relational knowledge (Dave Marshall)
Access to Relational Knowledge: a Comparison of Two Models (PDF) (William H. Wilson)
What is relational knowledge discovery? (Hannah Blau)
Curvature and Torsion (PDF) (Kate Okikiolu)
Computing Curvature and Torsion for a Curve Represented by Equations (Daniel J. Kleitman)
Dupin's Cyclide and the Cyclide Patch (PDF Chapter 22 pages 199-202) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Fitting of Constrained Feature Models to Poor Data (PDF) (C. Robertson, R.B. Fisher, N. Werghi, A.P. Ashbrook)
Fitting Circles and Ellipses to Data Using the Least-Squares Method (Marc Renault)
Least-Squares Fitting of Circles and Ellipses (PDF) (Walter Gander, Gene H. Golub, Rolf Strebel)
Circles (Silvio Levy and the University of Minnesota's Geometry Center)
Parametric representation of curves (S. A. Fulling)
Parametric Representation of Circles and Ellipses (John Gosselin)
Parametric Representation (Ian Craw)
Geometry in Action - Delaunay (David Eppstein)
Delaunay triangulation (with JAVA demo) (Denis Constales)
Voronoi Diagram and Delaunay Triangulation (Komei Fukuda)
Three-Dimensinoal Constrained Delaunay Triangulation: A Minimalist Approach (Paulo Roma Cavalcanti and Ulisses T. Mello)
Publications about Delaunay triangulation (INRIA, Sophia Antipolis)
Hierarchical Data Representations Based on Planar Voronoi Diagrams (S. Schussman, M. Bertram, B. Hamann, K.I. Joy)
Applications of 3D Delaunay triangulation algorithms in geoscientific modelling (R. Lattuada, J. Raper)
Recognition-by-Components: A Theory of Human Image Understanding (PDF) (Irving Biederman)
Recovery of Generic Solid Parts By Parametrically Deformable Aspects (PS) (M. Pilu, R.B. Fisher)
Panel Report: The Potential of Geons for Generic 3-D Object Recognition (PDF) (S.J. Dickinson et al)
Spherical Harmonics (Paul Bourke)
Spherical Harmonics (J. B. Calvert)
Surfaces That Are Functions on the Sphere (PDF, Section 9.2.3, page 7) (Computer Vision, Dana Ballard and Christopher Brown)
Spherical power spectrum overview (PDF, frames 25-34) (Szymon Rusinkiewicz, Benedict Brown, Michael Kazhdan)
Weighted Spherical Harmonic Representation (Moo K. Chung)
Magnetic Resonance Imaging - Tutorial I (PDF) (H. Panepucci, A. Tannus)
Generation of Volumetric Data - Overview (PDF) (Klaus Mueller)
Generation of Volumetric Data - Overview (PDF) (Klaus Mueller)
The predicate calculus (Steve Simpson)
First-order predicate calculus - Wikipedia (From Wikipedia, the free encyclopedia)
Predicate Calculus: Tableaux (Hugh Rice, The Logic Web project)
Predicate Calculus (Stefan Waner, Steven R. Costenoble)
A Description Classifier for the Predicate Calculus (Robert M. MacGregor)
Applications of Annotated Predicate Calculus to Querying Inconsistent Databases (PDF) (Marcelo Arenas, Leopoldo Bertossi, Michael Kifer)
First Order Predicate Calculus (PDF, Section 12.1, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
Chapter 4. Reasoning and Problem Solving (PDF Chapter 4 page 90-95)
A Framework for Representing Knowledge (Marvin Minsky)
Introduction to Frame Based Knowledge Representation (Micheal S. Hewett)
Frames and Knowledge Representation Issues (Barry Kurtz)
Frames and Frame Systems (Charles F. Schmidt)
Automatic Extraction of Lung Boundaries by a Knowledge-Based Method (PDF) (A. Hermanus, Edgard Nyssen, Jan Cornelis)
Picture Interpretation: A Symbolic Approach (PDF Section 3.2) (Picture Interpretation: A Symbolic Approach, S. Dance, Z.Q. Liu, T.M. Caelli)
Chapter 3 The Representation of Knowledge (PDF Chapter 3 page 72-73)
Visual Languages for Knowledge Representation (Rob Kremer)
What is A Knowledge Representation? (PS) (Davis, Randall, Howard Shrobe, Peter Szolovits)
Introduction to Knowledge Representation and Logic (PDF) (Robert Wilensky)
Knowledge representation languages (Robert Stevens)
Production Systems (PDF, Section 12.3, page 2) (Computer Vision, Dana Ballard and Christopher Brown)
AI Languages and AI Programming (Paul Brna)
Controlled Language for Knowledge Representation (PDF) (Stephan G. Pulman)
Introduction to Intelligent Programming - What tools/languages could help you to realize it? (Sheng-Yuan Yang)
Chapter 5. Learning (PDF Chapter 5 page 137-148)
Graph Matching (Sarah Price)
Visualizing Association Rules for Text Mining (PDF) (Pak Chung Wong, Paul Whitney, Jim Thomas)
Detection and classification of vehicles (PDF) (Surendra Gupte, Osama Masoud, Robert F. K. Martin, Nikolaos P. Papanikolopoulos)
Mathematical Background for Assessing Topological Consistency (PDF) (Joao Argemiro de Carvalho Paiva)
A Framework for Defining Domain-Specific Visual Languages (PDF) (Robert Esser, Joern W. Janneck)
Automated Program Recognition by Graph Parsing (Linda Mary Wills)
Combining Graph Matching and Hough Transform for Hand-Drawn Graphical Document Analysis. Application to Architectural Drawings (Josep Llados)
Graph Extraction from Color Images (PDF) (T. Lourens, K. Nakadai, H.G. Okuno, H. Kitano)
Similarity Searching in Medical Image DataBases (PDF) (Euripides G.M. Petrakis, Christos Faloutsos)
Recognition of shapes by morphological attributed relational graphs (PDF) (C.Di Ruberto, G. Rodriguez, L. Casta)
The Curvature Primal Sketch (Andreas Pichler)
Support Vector Classifier with Asymmetric Kernel Functions (PDF, Section 5, page 5) (Electrotechnical Laboratory, Ibaraki)
Representation with receptive fields: gearing up for recognition (PDF) (MIT and The Weizmann Institute of Science)
Brand Identification Using Gaussian Derivative Histograms (PDF) (INRIA)
A multiresolution directional-oriented image transform based on gaussian derivatives (B. Escalante-Ramirez, J.L. Silvan-Cardenas)
Development of a Robotic Weed Control System for Cotton (Ross D. Lamm, David C. Slaughter, D. Ken Giles, Won Suk Lee)
Vision-Guided Mechanical Weed-Control (Bjorn Astrand)
Machine Vision-Based High-resolution Weed Mapping And Patch-Sprayer Performance Simulation (PDF) (L. Tang, L.F. Tian, B.L. Steward)
Autonomous Crop Treatment Vehicle (Tony Hague)
Development of a robotic system for non chemical weed control (PDF) (W.S. Lee, D.C. Slaughter, D.K. Giles)
Grading of Vegetative Cuttings Using Computer Vision (PDF) (Sanjiv Singh, Mike Montemerio)
A machine vision system for grading lentils (PDF) (M.A. Shahin, S.J. Symons)
Detecting defects in cherries using machine vision (PS) (Patchrawal Uthaisombut)
Automated Grading and Non-destructive Evaluation of Produce (P.H. Heinemann)
A time-delayed integration spectrometer (P. Martinsen)
Machine Vision Based Steering System for Agricultural Combines (PDF) (E.R. Benson, J.F. Reid, Q. Zhang)
Machine Vision System for Automated Detection of Stained Pistachio Nuts (PDF) (Tom Pearson)
First results in vision-based crop line tracking (M. Ollis, A. Stentz)
The Demeter System for Automated Harvesting (PDF) (T. Pilarski, M. Happold, H. Pangels, M. Ollis, K. Fitzpatrick, A. Stentz)
Colour Image in 2D and 3D Microscopy for the automation of Pollen Rate Measurement (PDF) (P. Bonton, A. Bouchier, M. Thronnat, R. Tomczak, P.J. Hidalgo, J. Belmonte, C. Galan)
A Comparative Study of Approaches to Automatic Pollen Identification (I. France, A.W.G Duller, H.F Lamb, G.A.T Duller)
Routine Post-Harvest Screening of Banana/Plantain Hybrids: Criteria and Methods (PDF) (B.K. Dadzie, J.E. Orchard)
Hyperspectral Image Analysis for Measuring Ripeness of Tomatoes (PDF) (G. Polder, G.W.A.M. van der Heijden, I.T. Young)
Remote sensing based crop monitoring in Hungary (G. Csornai, Cs. Wirnhardt, Zs. Suba, P. Somogyi, G. Nador, dr. L. Martinovich, L. Tikasz, A. Kocsis, B. Tarcsai, Gy. Zelei)
Remote Sensing Applications for Agriculture (Canadian Space Agency)
Skipjack movement and fisheries interaction in the western pacific (PDF) (John R. Sibert)
Association of yellowfin tuna (Thunnus albacares) with tracking vessels during ultrasonic telemetry experiments (PDF) (Laurent Dagorn)
Black Marlin Dogged by Satellite Tag (CSIRO Australia)
South East Fishery - Mapping Project (CSIRO Australia)
REFLICS: Real-time flow imaging and classification system (PDF) (Sadahiro Iwamoto, David M. Checkley, Mohan M. Trivedi)
Experiments in automatic flock control (PDF) (Richard Vaughan, Neil Sumpter, Andy Frost, Stephen Cameron)
Non-parametric motion activity analysis for statistical retrieval with partial query (PDF) (Ronan Fablet, Patrick Bouthemy)
Computer Vision System for Tracking Players in Sports Games (PDF) (Janez Pers, Stanislav Kovacic)
Project Sewer Robotics (Joachim Hertzberg)
Automated sewer pipe inspection (Microsystems & Machine Vision Laboratory, Electronics Research Group, Sheffield Hallam University)
Augmented reality for underground pipe inspection and maintenance (PDF) (S.W. Lawson, J.R.G. Pretlove)
Visual Orientation and Motion Control of MAKRO - Adaption to the Sewer Environment (PDF) (Marina Kolesnik, Hermann Streich)
Rectilinearity Measurements for Polygons (Jovisa Zunic, Paul L. Rosin )
Word-level recognition of multifont Arabic text using a feature-vector matching approach (PS) (Erik J. Erlandson, John M. Trenkle, Robert C. Vogt)
Databases for Recognition of Handwritten Arabic Cheques (PDF) (Yousef Al-Ohali, Mohamed Cheriet, Ching Suen)
Towards Neural Network Recognition Of Handwritten Arabic Letters (PDF) (Tim Klassen)
On-line Writing-box-free Recognition of Handwritten Japanese Text Considering Character Size Variations (PDF) (T. Fukushima, M. Nakagawa)
Robust and Highly Customizable Recognition of On-line Handwritten Japanese Characters (Masaki Nakagawa, Katsuhiko Akiyama, Le Van Tu, Akitsugu Homma, Takao Higashiyama)
A Sentence Analysis Method for a Japanese Book Reading Machine for the Blind (PDF) (Y. Ohyama, T. Fukushima, T. Shutoh, M. Shutoh)
A Contextual Post-processing Model for Korean OCR using Synthesized Statistical Information (PDF) (Young-Sook Hwang, Bong-Rae Park, Hae-Chang Rim, Seong-Whan Lee)
Development of a Korean OCR System (PDF) (Nils Krahnstoever, Bart Paulhamus)
Offline cursive script word recognition - a survey (PDF) (T. Steinherz, E. Rivlin, N. Intrator)
Cursive Character Recognition by Learning Vector Quantization (Francesco Camastra, Alessandro Vinciarelli)
A simple and effective cursive word segmentation method (PDF) (G. Nicchiotti, C. Scagliola, S. Rimassa)
Off-line recognition of cursive handwritten czech text (PDF) (Pavel Smrz, Stepan Hrbacek, Michal Martinasek)
Written Letter Analysis (PDF) (Hriday Ravindranath)
Cursive Script Recognition (Eric Lecolinet)
Automatic Storage, Retrieval and Visualization of Bank Check Images (PDF) (Alessandro L. Koerich, Luan Ling Lee)
A system for processing handwritten bank checks automatically (PDF) (Rafael Palacios, Amar Gupta)
Morphological Approach for the Pre-Printed Information Extraction of Brazilian Bank Checks (PDF) (Luiz S. Oliveira, Flavio Bortolozzi)
Automatic Recognition of Cursive Amounts on Italian Bank-checks (PS) (V.Di Lecce, G. Dimauro, A. Guerrierro, S. Impedovo, G. Pirlo, A. Salzo)
Automatic Extraction of Items from Cheque Images for Payment Recognition (PS) (Ke Liu, Ching Y. Suen, Christine Nadal)
Optical Tracking for Music and Dance Performance (PDF) (J.A. Paradiso, F. Sparacino)
Recognition of Human Body Motion Using Phase Space Constraints (PDF) (Lee Campbell, Aaron Bobick)
Music control from 3D motion capture of dance (PDF) (F. Bevilacqua, J. Ridenour, D.J. Cuccia)
Emotion Analysis from Dance Performance Using Time-Delay Neural Networks (PDF) (W. Woo, J. Park, Y. Iwadate)
Interactive Reconstruction of Virtual Environments from Photographs, with Application to Scene-of-Crime Analysis (PDF) (S. Gibson, T.L.J. Howard)
Virtual Environments for Scene of Crime Reconstruction and Analysis (PDF) (T.L.J. Howard, S. Gibson and A. Murta)
reveal - Reconstruction from Video of Environments with Accurate Lighting (Simon Gibson, Roger Hubbold, Toby Howard, Alan Murta, Dan Oram, James Sinnott)
Computerised 3D facial reconstruction (Martin P. Evison)
Video Forensics (K.W. Tobin, T.P.Karnowski, T.F. Gee)
Dealing with Superimposed Objects in Optical Music Recognition (D. Bainbridge, T.C. Bell)
A Complete Optical Music Recognition System: Looking to the future (David Bainbridge)
A Multimedia System for Automatic Recognition, Indexing and Retrieval of Heterogeneous Music Documents (PDF) (Alessandro Argentini)
Selected Research in Computer Music (PDF) (Michael Droettboom)
A Way to Separate Knowledge from Program in Structured Document Analysis: Application to Optical Music Recognition (PS) (B. Couasnon, J. Camillerapp)
Note Symbol Extraction for Printed Piano Scores Using Neural Networks (PDF) (Hidetoshi Miyao, Yasuaki Nakano)
Format of Ground Truth Data Used in the Evaluation of the Results of an Optical Music Recognition System (PDF) (Hidetoshi Miyao, Robert M. Haralick)
Pattern Recognition on Musical Scores (Hans-Martin Braendmose Jensen)
Computer recognition of South Indian musical scores (M. Chandrasekaran, R. Chandrasekaran, Gift Siromoney)
Optical music interpretation (PDF) (M. Droettboom, I. Fujinaga, K. MacMillan)
More than counting black dots (TKB-4U, Europe)
Realizing the Benefits of 3D Inline Solder Paste Inspection (Stacy Johnson)
Implementation of Fuzzy-Rule-Based Image Processing on the CNN Universal Machine (PDF) (Marco Balsi, Francesco Voci)
A PCB Solder Joint Inspection using tiered Illumination (Laboratory for Vision Systems and Machine Intelligence, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology)
Facial Expression Recognition: A Brief Tutorial Overview (Claude Chibelushi and Fabrice Bourel)
Chapter 9. Computational Vision (PDF Chapter 9 page 281-286)
Image Processing for Terrain Map Analysis (Wojtek Furmanski)
Map Analysis - Procedures and Applications in GIS Modeling (Joseph K. Berry)
Multiscale Advanced Raster Map Analysis for Sustainable Environment and Development (PDF) (G. P. Patil)
SEGMENTATION OF SCANNED MAPS IN UNIFORM COLOR SPACES (PDF) (Bernt Lauterbach, Walter Anheier)
3D Reconstruction of the Vessels from X-Ray Angiography (Cristina Canero Morales)
Integrating X-ray angiography and MRI for endovascular interventions (PDF) (T.P.L. Roberts, A. Martin, R.L. Arenson, W.P. Dillon, C.B. Higgins)
Automatic trinocular 3D reconstruction of coronary artery centerlines from rotational X-ray angiography (PDF) (C. Blondel, R. Vaillant, F. Devernay, G. Malandain, N. Ayache)
3-D Fusion of Biplane Angiography and Intravascular Ultrasound for Accurate Visualization and Volumetry (PDF) (A. Wahle, G.P.M. Prause, S.C. DeJong, M. Sonka)
Three Dimensional X-Ray Angiography (H.G. Kehl et al)
Algorithms for the recovery of 3D shapes of anatomical structures from single x-ray images (PDF) (R. Poli, G. Valli)
MULTIMODAL REGISTRATION OF INTRAVASCULAR ULTRASOUND IMAGES AND ANGIOGRAPHY (PDF) (D. Rotger, P. Radeva, E. Fernandez-Nofrerias, J. Mauri)
Reconstructing 3-D Blood Vessel Shapes from Multiple X-Ray Images (Henry A. Rowley)
Enhanced Lung Cancer Detection in Temporal Subtraction Chest Radiography Using Directional Edge Filtering Techniques (Hui Zhao, Shih-Chung Ben Lo, Matthew T. Freedman, Yue Wang)
Automatic Lung Segmentation for Accurate Quantitation of Volumetric X-Ray CT Images (PDF) (Shiying Hu, Eric A. Hoffman, Joseph M. Reinhardt)
Mining Knowledge in X-Ray Images for Lung Cancer Diagnosis (PDF) (Petra Perner)
Optimal image feature set for detecting lung nodules on chest X-ray Images (PDF) (Jung Wei, Yoshihiro Hagihara, Akinobu Shimizu, Hidefumi Kobatake)
Computer-aided diagnosis in chest radiography: a survey (PDF) (Brahm van Ginneken, Bart M. ter Haar Romeny, Max A. Viergever)
Fiducial Registration from a Single X-Ray Image: A New Technique for Fluoroscopic Guidance and Radiotherapy (PDF) (T.S.Y. Tang, R.E. Ellis, D. Fichtinger)
Mammographic Image Analysis Homepage (Mislav Grgic)
The Analysis of Digital Mammograms: Spiculated Tumor Detection and Normal Mammogram Characterization (PDF) (Edward J. Delp)
Detection of Cancerous Masses for Screening Mammography using DWT based Multiresolution Markov Random Field (PDF) (Lei Zheng, Andrew K. Chan, Gary McCord, Steve Wu, J. Steve Liu)
Digitally Enhanced Mammography (Andrew Laine)
Mammography Classification by an Association Rule-based Classifier (PDF) (Osmar R. Zayane, Maria-Luiza Antonie, Alexandru Coman)
Enhancement of Mammographic Images for Detection of Microcalcifications (PDF) (Damir Sersic, Sven Loncaric)
3D Ultrasound (Bernard Cena)
Geometrically Correct 3-D Reconstruction of Intravascular Ultrasound Images by Fusion with Biplane Angiography - Methods and Validation (PDF) (A. Wahle, G.P.M. Prause, S.C. DeJong, M. Sonka)
Time-Dependent Three-Dimensional Intravascular Ultrasound (PDF) (J. Lengyel, D.P. Greenberg, R. Popp)
Reconstruction in Diffraction Ultrasound Tomography Using Non-Uniform FFT (PDF) (M. Bronstein, A. Bronstein, M. Zibulevsky)
Automatic Target Recognition by Matching Oriented Edge Pixels (PDF) (Clark F. Olson, Daniel P. Huttenlocher)
Automatic Target Recognition with Support Vector Machines (PDF) (Qun Zhao, Jose C. Principe)
Automatic Target Recognition (Lawrence O. Hall, Steven Eschrich)
Adaptive texture representation methods for automatic target recognition (PDF) (K. Messner, D. de Ridder, J. Kittler)
A Performance Complexity Study of Several Approaches to Automatic Target Recognition from Synthetic Aperture Radar Images (PDF) (Michael D. DeVore)
How to find Surface Ships and Small Go-Fast Craft Wakes in the Ocean (PDF) (John R. Hoffmann)
Detection and Tracking of Very Small Low Contrast Objects (PDF) (D. Davies, P. Palmer, M. Mirmehdi)
COMBAT IDENTIFICATION WITH BAYESIAN NETWORKS (PDF) (George Laskey)
Panacea: An Active Sensor Controller for the ALVINN Autonomous Driving System (PDF) (R. Sukthankar, D. Pomerleau, C. Thorpe)
Combining Laser Range, Color, and Texture Cues for Autonomous Road Following (PDF) (Christopher Rasmussen)
Development of Autonomous Ground Vehicle Named "Vehitle" (Ryuji Mizukami et al.)
EMS-vision: A perceptual system for autonomous vehicles (PDF) (R. Gregor, M. Luetzeler, M. Pellkofer, K. H. Siedersberger, E. D. Dickmanns)
Probabilistic Template Based Pedestrian Detection in Infrared Videos (PDF) (Harsh Nanda, Larry Davis)
An Active Vision System for Real-Time Traffic Sign Recognition (PDF) (Jun Miura, Tsuyoshi Kanda, Yoshiaki Shirai)
The road sign recognition groups in the world (Faculty of Transportation Sciences, Czech Technical University)
Road Sign Recognition Survey (Pavel Paclik)
Intelligent Navigation of Autonomous Vehicles in an Automated Highway System: Learning Methods and Interacting Vehicles Approach (Cem Ursal)
Real-time stereo processing, obstacle detection, and terrain estimation from vehicle-mounted stereo cameras (PDF) (R. Mandelbaum et al.)
Obstacle Detection for High Speed Autonomous Navigation (PDF) (Sanjiv Singh, Paul Keller)
Obstacle Detection Using Adaptive Color Segmentation and Color Stereo Homography (P. Batavia, S. Singh)
Tele-autonomous Obstacle Avoidance (Johann Borenstein, Yoram Koren)
Real-Time Obstacle Avoidance by an Autonomous Mobile Robot using an Active Vision Sensor and a Vertically Emitted Laser Slit (PDF) (S. Soumare, A.Ohya, S.Yuta)
Detection and Avoidance of Simulated Potholes in Autonomous Vehicle Navigation in an Unstructured Environment (PDF) (J. Karuppuswamy)
Localization and Navigation for Autonomous Robots in Industrial and Service Environments Using Laser Radar (H. Noltemeier et al.)
Autonomous Navigation and Map building Using Laser Range Sensors in Outdoor Applications (PDF) (J. Guivant, E. Nebot, S. Baiker)
Multisensor fusion for simultaneous localization and map building (PDF) (J. A. Castellanos, J. Neira, J. D. Tardos)
Mobile Robot Map Building from an Advanced Sonar Array and Accurate Odometry (PDF) (Kok Seng Chong, Lindsay Kleeman)
Weighted Line Fitting Algorithms for Mobile Robot Map Building and Efficient Data Representation (PDF) (S. T. Pfister, S. I. Roumeliotis, J. W. Burdick)
Simultaneous Localization and Mapping with Detection and Tracking of Moving Objects (PDF) (Chieh-Chih Wang, Chuck Torpe)
Reconstructing Urban 3D Model using Vehicle-borne Laser Range scanners (PDF) (H. Zhao, R. Shibasaki)
Laser-based Position Tracking and Map Generation (PDF) (D. Burschka, G. Hager)
Cloud tracking by scale space classification (PDF) (D.P. Mukherjee, S.T. Acton)
Multiscale Storm Identification and Forecast (PDF) (V. Lakshmanan)
Structure and Nonrigid Motion Analysis of 2D Satellite Cloud Image Sequences (Lin Zhou)
Automatic Detection of Oceanic Wave Length and Direction from SPOT Image (C.S.Wu, C.F. Chen, K.S. Chen and A.J. Chen)
Improved Ocean Wave Measurement using Dual-Polarization SAR Data (Paris Vachon)
Contribution of RADAR SAR imagery for mapping coastal's areas: examples of sedimentationnal and erosionnal zones in French Guyana, Mauritania (PDF) (H. Trebossen et al.)
Drainage Network and Basin Analysis Southern California (Bruce Bayne, April Brice, Andrew Pasquale, Mark Wheeler)
How to make a straight line square - Application development (PDF - chapter 5) (Jan Husdal)
Drainage Network Extraction from a SAREX'92 RADAR image (PDF) (Ana Lucia Bezerra Candeias)
Extraction and representation of nested catchment areas from digital elevation models in lake-dominated topography (PDF) (D.S. Mackay, L.E. Band)
Development of 1 km Drainage Model based on GTOPO 30 and Global Data Sets (Shiro Ochi and Ryosuke Shibasaki)
Digital Elevation Model Issues In Water Resources Modeling (J. Garbrecht and L. W. Martz)
Mapping Ocean Oil Pollution with ERS SAR Imagery (Jingxuan Lu, Hock Lim, Mingquan Bao, Soo Chin Liew, and Leong Keong Kwoh)
Oil Spill Detection and Monitoring from Satellite Image (S. B. Mansor, H. Assilzadeh, H.M. Ibrahim, A. R. Mohamd)
An Image Processing Strategy for the Quantification and Visualization of Exercise Induced Muscle MRI Signal Enhancement (Simon K. Warfield1, Robert V. Mulkern2, Carl S. Winalski, Ferenc A. Jolesz and Ron Kikinis)
Automatic Recognition of Exudative Maculopathy using Fuzzy C-Means Clustering and Neural Networks (PDF) (A. Osareh et al.)
INVARIANT RECOGNITION OF POLYCHROMATIC IMAGES OF Vibrio cholerae O1 (PDF) (J. Alvarez-Borrego et al.)
Computer vision based plant differentiation for the control of horticultural production processes (Jochen Hemming)
Estimation of Photosynthetic Rate of Plant from Hyper-spectral Remote Sensing of Biochemical Content (Takahiro Endo, Toshinori Okuda, Masayuki Tamura, Yoshifumi Yasuoka)
Assessment of Grapevine Vigour Using Image Processing (PDF) (H. Bjurstroem, J. Svensson)
Robust automatic microarray image analysis (PDF) (Mathias Katzler, Franz Kummert, Gerhard Sagerer)
3 MICROARRAY DATA PROCESSING AND ANALYSIS (PDF) (Joaquin Dopazo)
Bioinformatics and genome analysis (Jan Gorodkin)
Applying Watershed Algorithms to the Segmentation of Clustered Nuclei (PDF) (Norberto Malpica et al.)
AUTOMATED IMAGE ANALYSIS FOR DNA FINGERPRINTING (PDF) (D.R. Fuhrmann et al.)
Image analysis of cDNA microarray data (PDF) (Marit Holden, Norsk Regnesentral)
Pattern recognition of genomic features with microarrays: site typing of Mycobacterium tuberculosis strains (PDF) (S. Raychaudhuri et al.)
Processing of Ultrasound Images Sequences for Quantitative Analysis of Fetal Movements (Leonid Yaroslavsky, Ben-Zion Shaick)
Automatic Analysis of Fetal Echographic Images (PDF) (S.V.B. Jardim, M.A.T. Figueiredo)
Multi-Dimensional Medical Imaging Studies at University College London (Medical Graphics and Imaging Group, University College London and UCL Hospitals)
An overview of colour-based face image and skin analysis (Birgitta Martinkauppi)
Image-based Skin Analysis (PDF) (Oana G. Cula, Kristin J. Dana)
Segmentation of Skin Cancer Images (L. Xu, M. Jackowski, A. Goshtasby, C. Yu, D. Roseman, S. Bines, A. Dhawan, A. Huntley)
SEGMENTATION OF DERMATOSCOPIC IMAGES BY STABILIZED INVERSE DIFFUSION EQUATIONS (PDF) (Jianbo Gao et al.)
An Integrated Traffic and Pedestrian Model-Based Vision System (P. Remagnino, A. Baumberg, T. Grove, D. Hogg, T. Tan, A. Worrall, K. Baker)
Spatial and Probabilistic Modelling of Pedestrian Behaviour (PDF) (D. Makris, T. Ellis)
An Integrated Traffic and Pedestrian Vision System (Richard Morris)
Bayesian Multi-Camera Surveillance (PDF) (Vera Kettnaker, Ramin Zabih)
People Tracking for Visual Surveillance (Nils T. Siebel)
Video Surveillance and Monitoring (School of Computer Science, CMU)
Backpack : Detection of People Carrying Objects Using Silhouettes (PDF) (I. Haritaoglu et al.)
Classifying Surveillance Events from Attributes and Behaviour (PDF) (P. Remagnino, G.A. Jones)
Video Sequence Interpretation for Visual Surveillance (PDF) (N. Rota, M. Thonnat)
High-Level Analysis of Human Pose (PDF) (G. Shakhnarovich, T. Darrell)
Vehicle Occupant Posture Analysis Using Voxel Data (PDF) (Ivana Mikic, Mohan Trivedi)
Static Posture Recognition System (Karen Liu)
Human pose estimation (PDF, pg 24) (Bodo Rosenhahn, Christian Perwass, Gerald Sommer)
3D Human Motion reconstruction in Monocular Video (PDF) (Cristian Sminchisescu)
Gait Classification (Dorthe Meyer)
Gait identification bibliography (Fabio Cuzzolin)
A Multi-view Method for Gait Recognition Using Static Body Parameters (PDF) (A.Y. Johnson, A.F. Bobick)
Gait Analysis for Recognition and Classification (PDF) (Lily Lee)
Person Identification using Automatic Height and Stride Estimation (PDF) (Chiraz BenAbdelkader et al.)
Integrating perceptual and cognitive modeling for adaptive and intelligent human-computer interaction (PDF) (Zoran Duric et al.)
MACHINE PERCEPTION OF REAL-TIME MULTIMODAL NATURAL DIALOGUE (PDF) (Kristinn R. Thorisson)
Action Recognition by Shape Matching to Key Frames (PDF) (Stefan Carlsson, Josephine Sullivan)
Automated Inspection of Steel Structures (PDF) (C. Uensalan, A. Ercil)
Automated visual inspection of steel surface, texture segmentation and development of a perceptual similarity measure (Prithwijit Guha)
An automatic assessment scheme for steel quality inspection (PDF) (K. Wiltschi, A. Pinz, T. Lindeberg)
Active Inspection System for Steel Quality Control (Klaus Wiltschi)
Vision-Based Surface Strain Measurement System (D.W. Manthey, D. Lee)
Inspection of Surface Strain in Materials using Optical Flow (PDF) (Katharine Chivers, William Clocksim)
Advanced Photogrammetry for Robust Deformation and Strain Measurement (PDF) (J. Tyson, T. Schmidt)
Structural Defects: General Approach and Application to Textile Inspection (Postscript) (Dmitry Chetverikov)
AUTOMATIC VISUAL INSPECTION ON SHOE AND TEXTILE INDUSTRIES (PDF) (M.J. Ferreira et al.)
Vision-Based Eye-Gaze Tracking for Human Computer Interface (PDF) (Kyung-Nam Kim, R.S. Ramakrishna)
Detection and Tracking of Eyes for Gaze-camera Control (PDF) (S. Kawato, N. Tetsutani)
Detecting and Tracking Human Face and Eye Using an Space-Varying Sensor and an Active Vision Head (PDF) (M. Yeasin, Y. Kuniyoshi)
Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (PDF) (Qiang Ji, Xiaojie Yang)
Eye movement and visualisation links (Kenneth Holmqvist)
Eye Controlled Media: Present and Future State (Arne John Glenstrup, Theo Engell-Nielsen)
Eye Location Using Genetic Algorithm (PDF) (Jeffrey Huang, Harry Wechsler)
A Breadth-First Survey of Eye Tracking Applications (PDF) (Andrew T. Duchowski)
Non-Uniform Fourier Transform: A Tutorial Roberta Piroddi and Maria Petrou
Normalized Convolution: A Tutorial Roberta Piroddi and Maria Petrou
Model Building for Reverse Engineering (T.M. Sobh)
Industrial Computed Tomography in Reverse Engineering Applications (A. Flisch et al)
Feature-Based Reverse Engineering of Mechanical Parts (PDF) (William B. Thompson et al)
Industrial Computed Tomography in Reverse Engineering Applications (PDF) (Alexander Flisch et al)
Seam Tracking (PDF) (Drebbel Institute, University of Twente)
Robust Laser-stripe Sensor for Automated Weld-seam-tracking in the Shipbuilding Industry (PDF) (K. Haug et al)
Intelligent Robotic GTAW System for 3D Welding (PDF) (A. Shacklock et al)
Weld Seam Determination Using Structured Light (Gary Bonser)
CSS - Circular Scanning Sensor (Oxford Sensor Technology Ltd)
A Deformable Model for Human Organ Extraction (Postscript) (Jean Gao et al)
3D ultrasound examination of large organs (PDF) (G.M. Treece et al)
3D Segmentation Techniques for Medical Volumes (PDF) (S. Lakare)
Three dimensional shape modeling: segmentation, reconstruction and registration (PDF) (Jia Li)
Image-guided procedures and the operating room of the future (Ferenc A. Jolesz)
Intra-Operative Real-Time 3-D Information Display System based on Integral Videography (Hongen Liao)
Intra-operative Support via Augmented Reality Techniques in Endoscopic and Robot Assisted Surgery (PDF) (Thomas Elias et al)
Real-Time Image Segmentation for Image-Guided Surgery (Simon K. Warfield)
Image Guided Surgery (PDF) (Yusuf Sinan Akgul)
Surgery Support System as a Surgeon's Advanced Hand and Eye (PDF) (Kazutoshi Kan et al)
Virtual Endoscopy (Dirk Bartz)
Virtual Endoscopy (Delphine Nain)
Virtual Endoscopy (Department of Bioengineering, Penn State University)
Virtual Endoscopy in the colon, trachea/larynx, bronchi, aorta and brain arteries (Thomas Deschamps)
Gallery of virtual endoscopy animations (Thomas Deschamps)
Virtual Endoscopy: Modeling the Navigation in 3D Brain Volumes (PDF) (Aly A. Farag et al)
Interactive Exploration of Extra- and Intracranial Blood Vessels (PDF) (Dirk Bartz et al)
Analysis of Time-Varying Images Using 3D Vascular Models (PDF) (E. Bullitt et al)
A Review of Vessel Extraction Techniques and Algorithms (Cemil Kirbas, Francis K.H. Quek)
Extraction of Arterial and Bronchial Tree (Thomas Deschamps)
Curve and Shape Extraction with Minimal Path and Level-Sets techniques applied to 3D Medical Imaging (Thomas Deschamps)
Fast Surface and Tree Structure Extraction of Vascular Objects in 3D medical objects (PDF) (Thomas Deschamps)
Knee cartilage topography, thickness, and contact areas from MRI: in-vitro calibration and in-vito measurements (PDF) (Zohara A. Cohen et al)
Estimation of Cartilage Thickness from Joint Surface Scans: Comparative Analysis of Computational Methods (PDF) (Frank Heuer et al)
Cartilage Imaging Research (Brian Hargreaves)
Shape-Based Cortical Surface Segmentation for Visualization Brain Mapping (PDF) (Kevin P. Hinshaw et al)
Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex from MRI (PDF) (David MacDonald et al)
Using a Statistical Shape Model to Extract Sulcal Curves on the Outer Cortex of the Human Brain (PDF) (Xiaodong Tao et al)
An Adaptive-Focus Statistical Shape Model for Segmentation and Shape Modeling of 3D Brain structures (PDF) (Dinggang Shen et al)
Directions and Planes of Section (University of Washington)
Robust midsagittal plane extraction from normal and pathological 3D neuroradiology images (PDF) (Yanxi Liu et al)
Automatic Extraction of the Central Symmetry Plane from Neuroradiology Images (PDF) (Y. Liu, R. Collins)
Computation of the Mid-Sagittal Plane in 3-D Brain Images (Sylvain Prima et al)
RT Planning with MRI (Centre for Physics & Engineering Research in Medicine, University of Bristol)
Intensity Modulated Radiotherapy (IMRT) with Conventional MLC's (PDF) (Lynn J. Verhey)
Introduction to CT in Radiotherapy (Maria Lewis)
Primer 101.2 Radiotherapy Planning Problems for Not-so Dummies (PDF) (Mark Langer)
ON THE APPLICATION FOR ROAD STRUCTURE IN DYNAMIC ANALYSIS OF HUMAN MOTION USING HVT SYSTEM (PDF) (T. Odake, H. Chikatsu)
Vehicle-borne Laser Mapping System (VLMS)-a new observation systemfor 3-D mapping of urban areas (D. Manandhar, R. Shibasaki)
Knowledge-Based Image Analysis for 3D Road Reconstruction (Chunsun Zhang, Emmanuel Baltsavias, Armin Gruen)
Feature Object Detection on the urban road surface by The Application of Three Line Scanner Imagery (PDF) (S. Pantavungkour et al)
A COST-EFFECTIVE ROAD SURVEYING METHOD FOR THE ASSESSMENT OF ROAD ALIGNMENTS (PDF) (B. Psarianos et al.)
Road Sign Recognition by Single Positioning of Space-Variant Sensor Window (PDF) (D. G. Shaposhnikov et al)
An Active Vision System for Real-Time Traffic Sign Recognition (PDF) (Jun Miura et al)
Road Sign Classification without Color Information (PDF) (Pavel Paclik et al)
Road Traffic Sign Detection And Classification (Arturo de la Escalera et al)
Monitoring Head/Eye Motion for Driver Alertness with One Camera (PDF) (Paul Smith et al)
TECHNOLOGIES FOR THE MONITORING AND PREVENTION OF DRIVER FATIGUE (PDF) (Anneke Heitmann et al)
Visual Cues Extraction for Monitoring Drivers Vigilance (PS) (Qiang Ji et al)
Drowsy Driver Detection System (PDF) (Neeta Parmar)
Trainable Pedestrian Detection (PDF) (C. Papageorgiou, T. Poggio)
Stereo and Neural Network-based Pedestrian Detection (L. Zhao, C. Thorpe)
Pedestrian Detection (Dariu M. Gavrila)
Shape-based Pedestrian Detection (PDF) (A. Broggi et al)
Sensor study and data processing for the detection of antipersonnel mines (Luc van Kempen)
An Iterative Morphological Scheme for Unsupervised Land Mine Detection (PDF) (Sinan Batman et al)
Novel Inverse Methods in Land Mine Imaging (PDF) (Thomas P. Weldon et al)
Image Processing-Based Mine Detection Techniques: A Review (PDF) (Joonki Paik et al)
Multistatic GPR for antipersonnel mine detection (PDF) (Christian Fischer et al)
Vision-based Detection of Kerbs and Steps (Stephen Se, Michael Brady)
Stereo Vision-based Obstacle Detection for Partially Sighted People (PDF) (Stephen Se, Michael Brady)
Vision-based Detection of Stair-cases (PDF) (Stephen Se, Michael Brady)
Building Detection and Description from a Single Intensity Image (PDF) (Chungan Liu et al)
Wavelet-Based Clustering Method to Detect Building in Urban Area from Airborne Laser Scanner Data (Vu Tuong Thuy et al)
Knowledge-Based Building Detection and Description: 1997-1998 (PDF) (R. Nevatia et al)
Semi-automatic Building Acquisition (Eberhard Gulch, Hardo Muller, Lemonia Ragia)
Component-based building reconstruction by structural multi-image correspondence analysis (Felicitas Lang)
Automatic Description of Buildings with Complex Rooftops from Multiple Images (PDF) (ZuWhan Kim et al)
Multi-view 3-d object description with uncertain reasoning and machine learning (PDF) (ZuWhan Kim)
Constraints for Object Recognition in Aerial Images - Handling of Unobserved Features (PDF) (Thomas H. Kolbe)
A System for Building Detection from Aerial Images (PDF) (R. Nevatia et al)
Automated appearance-based building detection in terrestrial images (PDF) (Jan Boehm et al)
Building detection using Bayesian networks (A. STASSOPOULOU et al)
Building Detection and Description (Z. Kim)
Full-color Space Image Analysis of Food Products Using the WinGrain System (PDF) (Peter Locht)
Determining Wheat Vitreousness Using Image Processing and a Neural Network (PDF) (Ning Wang et al)
Automated Inspection of Poultry Deboning Processes (G. Vachtsevanos et al)
Automatic selection of seeds using pattern recognition techniques in high resolution x-ray images (Jean-Michel Letang)
Pre-processing Colour Images with a Self-Organising Map: Baking Curve Identification and Bake Image Segmentation (PDF) (L.G.C. Hamey et al)
Baked product classification with the use of a self-organising map (PDF) (T. RayChaudhuri et al)
Full-color Space Image Analysis of Food Products Using the WinGrain System (PDF) (P. Locht)
Channel Defect Detection in Food Packages Using Integrated Backscatter Ultrasound Imaging (PDF) (Kay Raum et al)
Complexity analysis for the establishment of image correspondences of dense spatial target fields (PDF) (Hans-Gerd Maas)
3-D Particle-Tracking-Velocimetry (Hans-Gerd Maas)
A New Neural Network for Particle-Tracking Velocimetry (PDF) (Gilles Labonte)
A stereo video imaging system for surface particle tracking (PDF) (Klaus Hoyer et al)
Shooting a Smooth Video with a Shaky Camera (PDF) (Z. Duric, A. Rosenfeld)
Non-Metric Image-Based Rendering for Video Stabilization (PDF) (Chris Buehler et al)
Image Stabilization by Features Tracking (PDF) (A. Censi et al)
Recovery of Ego Motion Using Image Stabilization (PDF) (M. Irani et al)
Probabilistic video stabilization using Kalman filtering and mosaicking (PDF) (A. Litvin et al)
Supporting Mobile Robot Localization by Visual Bar Code Recognition (PDF) (Klaus-Werner Jorg, Torsten Gattung, Joachim Weber)
A Visually Significant Two Dimensional Barcode (PDF) (Doron Shaked et al)
Two-dimensional Bar Coding (Dean Barnes et al)
Spatial sampling effects in Optical Character Recognition (Postscript) (Daniel Lopresti, Jiangying Zhou, George Nagy, Prateek Sarkar)
Off-line Signature Verification Using HMM for Random, Simple and Skilled Forgeries (PDF) (Edson J.R. Justino et al.)
Signature Verification: Increasing Performance by a Multi-Stage System (PDF) (C. Sansone, M. Vento)
Automatic On-Line Signature Verification (PDF) (Vishvjit S. Nalwa)
A Model for Signature Verification (Postscript) (Trevor Hastie et al.)
Signature Recognition Project (Mihai Costin Manolescu)
Off-Line Signature Verification by Local Granulometric Size Distributions (PDF) (Robert Sabourin et al)
A low-cost system for signature recognition (subscription may be required) (J.C. Martinez et al)
Walsh Function/O'Gorman Edge Detector (Piljae Kim)
A Knowledge-Based Approach to the Layout Analysis (PDF) (Floriana Esposito et al)
Two Geometric Algorithms for Layout Analysis (PDF) (Thomas M. Breuel)
Document Structure Analysis Based on Layout and Textual Features (PDF) (Stefan Kling et al)
Using statistical models in document images understanding (PDF) (LeBourgeois F. et al)
Intelligent Data Retrieval from Raster Images of Documents (Sargur N. Srihari et al)
Document Image Analysis and Understanding (Communications Engineering Branch of the Lister Hill National Center for Biomedical Communications)
Document Image Layout Comparison and Classification (PDF) (Jianying Hu et al)
Diagram Understanding Using Integration of Layout Information and Textual Information (PDF) (Yasuhiko Watanabe et al)
Understanding Diagrams in Technical Documents (Postscript) (R. P. Futrelle et al)
Efficient Analysis of Complex Diagrams using Constraint-Based Parsing (PDF) (R. P. Futrelle et al)
Understanding Technical Articles and Their Diagrams (Postscript) (R. P. Futrelle et al)
Understanding Natural Language with Diagrams (Gordon S. Novak Jr. et al)
An Interactive System for Recognizing Hand Drawn UML Diagrams (PDF) (Edward Lank et al)
Skew estimation and correction for handwritten Hindi documents (Mitul Saha)
Robust Skew Estimation on Low-Resolution Document Images (Postscript) (Oleg Okun et al)
Two-dimensional object alignment based on the robust oriented hausdorff similarity measure (PDF) (Dong-Gyu Sim et al)
IDARS: Interactive Document Analysis and Reproduction System (Postscript) (Monika Fabisiak)
Automated Page Orientation and Skew Angle Detection for Binary Document Images (D. X. Le et al)
Slant estimation algorithm for OCR systems (PDF) (E. Kavallieratou et al)
Skew angle estimation in document processing using Cohen's class distributions (PDF) (E. Kavallieratou et al)
Aiding Manipulation of Handwritten Mathematical Expressions through Style-Preserving Morphs (PDF) (Richard Zanibbi et al)
Directions in Recognizing Tabular Structures of Handwritten Mathematics Notation (PDF) (Richard Zanibbi et al)
Recognizing Mathematical Expressions Using Tree Transformation (PDF) (Richard Zanibbi et al)
The Freehand Formula Entry System and DRACULAE (Diagram Recognition Laboratory, Department of Computing and Information Science, Queen's University)
Ambiguity and Constraint in Mathematical Expression Recognition (PDF) (Erik G. Miller et al)
Automatic extraction of printed mathematical formulas using fuzzy logic and propagation of context (PDF) (A. Kacem et al)
A Prototype Hand Geometry-based Verification System (PDF) (Anil K. Jain et al)
Matching of palmprints (PDF) (N. Duta et al)
Automated personal identification by palmprint (PDF) (Wei Shu et al)
Three main concerns in sketch recognition and an approach to addressing them (PDF) (James V. Mahoney et al)
New Frontiers in Sketch Understanding (PDF) (Aaron D. Adler)
Early Processing in Sketch Understanding (PDF) (Tevfik Metin Sezgin et al)
Hand-Drawn Maps for Robot Navigation (PDF) (Marjorie Skubic et al)
A cognitive approach to sketch understanding (PDF) (R.W. Ferguson et al)
Shape Pattern Recognition Using a Computable Pattern Representation (PDF) (Myung Yeol Cha et al)
Facial Action Recognition in Face Profile Image Sequences (PDF) (Maja Pantic et al)
A Scale-Space Approach to Face Recognition From Profiles (PDF) (Zdravko Liposcak et al)
Face Recognition from Profiles Using Morphological Signature Transform (PDF) (Zdravko Liposcak et al)
Face Identification across Different Poses and Illuminations with a 3D Morphable Model (PDF) (V. Blanz et al)
Synthesized Virtual View-Based EigenSpace for Face Recognition (PDF) (Jie Yan et al)
Hierarchical Clustering (Sushrut S Karanjkar)
Data Reduction and Exploration - Hierarchical Clustering (Cytel Software Corporation)
Hierarchical Clustering (David Eppstein)
Algorithms for Clustering Data (PDF section 3.2) (Algorithms for Clustering Data, A.K. Jain, R.C. Dubes)
Cluster Analysis (Alan Fielding)
Gaussian Pyramids (Jean-Michel Jolion)
Gray Level Pyramids (Technical University Graz)
Computational Vision (PDF - (CogNet Access Req.) Part 3.4.2) (Computational Vision, H.A. Mallot, J.S. Allen)
Segmentation and Description of Binocularly Viewed Contours (PDF chapter 11) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
Quadric fitting (Olli T Jokinen)
Multi Slope Sensing (The Imaging Source Network)
Shape from Structured Light (Martin Kampel)
Structured Light Vision (PPT) (David Fofi)
Three-dimensional vision using structured light (PDF, Section 8.7, pages 24-26) (Machine Vision; David Vernon)
Direct Linear Transformation (PDF page 15) (Vincent Lepetit and Pascal Fua)
Perspective n-Point Problem (PDF page 16) (Vincent Lepetit and Pascal Fua)
Coarse texture classification (K. L. Lee)
Complex Texture Classification (Joseph Kuan)
Motion (PDF, Section 7, page 1) (Computer Vision, Dana Ballard and Christopher Brown)
Computational Vision (PDF - (CogNet Access Req.) Chapter 9) (Computational Vision, H.A. Mallot, J.S. Allen)
A Binocular Stereo Algorithm for Log-polar Foveated Systems (Alexandre Bernardino, Jose Santos-Victor)
Binocular Fusion (Giulio Sandini)
3-D Scene Reconstruction from Multiple Panoramic Images (Roland Bunschoten, Ben Kroese)
Panoramic Virtual Stereo Vision of Cooperative Mobile Robots for Localizing 3D Moving Objects (Postscript) (Zhigang Zhu, K. Deepak Rajasekar, Edward M. Riseman, Allen R. Hanson)
Fast Local and Global Projection-Based Methods for Affine Motion Estimation (Dirk Robinson, DPpeyman Milanfar)
Adaptive Meshing for Radiosity (Takayuki Itoh)
AutoRegression Analysis (AR) (Paul Bourke)
Time-Series Autoregression (Stanford Exploration Project)
Causal Models and Diagrammatic Representations of the Operation of Causal Processes (Shanna Smith)
Mind Maps and Causal Models: Using Graphical Representations of Field Research Data (David R. Millen, Audrey Schriefer, Diane Z. Lehder, Susan M. Dray)
Revising Models of Gene Regulation (Chrisman, L., Langley)
Individual Causal Models and Population System Models in Epidemiology (James S. Koopman, John W. Lynch)
Uncertain Reasoning: Statistical Methods (David Marshall)
Dempster-Shafer Theory (Glenn Shafer)
The Theory of Evidence (Fabio Cuzzolin)
Evidence bibliography (Fabio Cuzzolin)
Dempster-Shafer Models (David Marshall)
Picture Interpretation: A Symbolic Approach (PDF Section 7.2) (Picture Interpretation: A Symbolic Approach, S. Dance, Z.Q. Liu, T.M. Caelli)
Chapter 4. Reasoning and Problem Solving (PDF Chapter 4 page 100-103)
Determination of the affine transformations (K.Voss, H.Suesse, Ch. Braeuer)
Face Tracking And Pose Estimation Using Affine Motion Parameters (Pingping Annie Yao, Glyn Evans, Andrew Calway)
Affine Invariants (K.Voss, H.Suesse, Ch. Braeuer)
Euclidean and Affine Geometric Invariants (cooper@lems.brown.edu)
Affine Invariants of Planar Sets (Kalle Astrom)
Approximation by an Affine Transformation (unknown)
Automatic Pose Estimation of Complex 3D Building Models (S. Lee, S. Jung, R. Nevatia)
Yet Another Method for Pose Estimation: A Probabilistic Approach using Points, Lines and Cylinders (PDF) (Robert Hanek, Nassir Navab, Mirko Appel)
Affine Transformation (Eric W. Weisstein)
Affine Transformation (R. Fisher, S. Perkins, A. Walker, E. Wolfart)
Affine transformation (GNU Free Documentation License)
Automatic Detection of Signs with Affine Transformation (Xilin Chen, Jie Yang, Jing Zhang, Alex Waibel)
Distance and similarity measures (Alan Fielding)
Skew symmetry (Algorithms and Theory of Computation Handbook)
Another Symmetry (www.mathpages.com)
Perception of symmetry (Chris Evans)
Shape, Procrustes tangent projections and bilateral symmetry (PDF) (J.T. Kent, K.V. Mardia)
Three-Dimensional Bilateral Symmetry Assumed in Judgments of Figural Identity and Orientation (Michael McBeath, Diane Schiano, Barbara Tversky)
The affine symmetry groups of conics (Wilson Stother)
Local Change-in-Area Factors (Duke University)
Parametric representation for the part of the elliptic paraboloid (rjm@math.ucla.edu)
Parametric representation for the upper half of the ellipsoid (rjm@math.ucla.edu)
Parametric representation of the part of the sphere (rjm@math.ucla.edu)
Parametric representation for the part of the plane (rjm@math.ucla.edu)
Multiresolution Adaptive Parameterization of Surfaces (A.W.F. Lee, W. Sweldens, P. Schroder, L. Cowsar, D. Dobkin)
Parametric Representations of Surfaces (Duke University)
Identification of image transformation models (Tao Wu)
Geometric Transformations (PDF, Section A1.7, page 13) (Computer Vision, Dana Ballard and Christopher Brown)
Network Based Geometric Reasoning (Bob Fisher)
Geometric Reasoning in a Parallel Network (PDF Chapter 23) (3D Model Recognition From Stereoscopic Cues, J.E. W. Mayhew and J.P. Frisby)
2D-3D Registration Based on Shape Matching (Christopher M. Cyr, Ahmed F. Kamal, Thomas B. Sebastian, Benjamin B. Kimia)
Tracking with a Novel Pose Estimation (Bodo Rosenhahn, Norbert Kruger, Torge Rabsch, Gerald Sommer)
Foundations about 2D-3D Pose Estimation (PDF) (Bodo Rosenhahn, Christian Perwass, Gerald Sommer)
A Similarity-based Aspect-Graph Approach to 3D Object Recognition (Christopher Cyr)
Differential Geometry from the Frenet Point of View (Steven W. Zucker)
Frenet Frame (Planetmath.Org)
Differential geometry of curves (Wikipedia)
Frenet-Serret formulas (Wikipedia)
Curve and Surface Duals and the Recognitin of Curved 3D Objects from their Silhouette (Amit Sethi, David Renaudie, David Kriegman, Jean Ponce)
Projective and illumination invariant representation of disjoint shapes (S. Startchik, R. Milanese, T. Pun)
Description of Three Dimensional Structures (Bob Fisher)
Topological techniques for shape understanding (Silvia Biasotti)
Structured Knowledge Representation for Image Retrieval (Eugenio Di Sciascio, Francesco M. Donini, Marina Mongiello)
Stable Hierarchical Shape Descriptions (Jonas August)
Shape Partitioning by Convexity (Paul.Rosin)
Boundaries of shapes (Christopher Earl)
Graphical Objects 1 Introduction (Jonas Gomes, Bruno Costa, Lucia Darsa, Luiz Velho)
A survey of surface representations for geometric modeling (Andreas Hubeli, Markus Gross)
Viewpoint-Invariant Visual Acquisition (L. Van Gool)
Structure and motion from profiles (Paulo Ricardo dos Santos Mendonca)
Detection of Tumor in Digital Images of the Brain (PDF) (Angelo Zizzar et al)
Automated Segmentation and Classification of Brain Magnetic Resonance Imaging (PDF) (Luiza Antonie)
Automated Lung Nodule Segmentation Using Dynamic Programming and and EM Based Classification (PDF) (Ning Xu et al)
Polyp Segmentation & Visualization (Thomas Deschamps)
Volumetric Analysis of Abdominal Aortic Aneurysm (Kevin M. Baskin et al)
3-D deformable model for aortic aneurysm segmentation from CT images (PDF) (Sven Loncaric et al)
Segmentation of Abdominal Aortic Aneurysm Using Deformable Models (PDF) (Marko Subasic et al)
3-D image analysis of abdominal aortic aneurysm (PDF) (Marko Subasic et al)
Fast Analysis of Intracranial Aneurysms based on Interactive Direct Volume Rendering and CTA (PDF) (P. Hastreiter et al)
Combining Local and Remote Visualization Techniques for Interactive Volume Rendering in Medical Applications (PDF) (K. Engel et al)
Modeling, Simulation and VR Visualization of Brain Aneurysm Blook Flow (Postscript) (Michael R. Harreld)
Texture analysis of x-ray images for detection of changes in bone mass and structure (PDF) (Andrzej Materka et al)
Trabecular Bone Volume Fraction Mapping by Low-Resolution MRI (PDF) (M.A. Fernandez-Seara et al)
Bone Loss (Bones-and-Osteoporosis.com)
Single Photon Emission Computed Tomography (How Stuff Works)
Automatic Target Detection and Recognition Using Synthetic Aperture Radar Imagery (PDF) (Jim Schroeder)
Vehicle Detection and Tracking Using the Block Matching Algorithm (PDF) (Luigi Di Stefano et al)
Automatic target recognition in laser radar imagery (Magnus Snorrason et al)
SAR imaging and detection of moving targets (R.C. DiPietro et al)
A Summary of Vehicle Detection and Surveillance Technologies used in Intelligent Transportation Systems (PDF) (The Vehicle Detector Clearinghouse)
Video Scene Segmentation (PDF pg 12) (G. Ahanger et al)
Video scene change detection method using unsupervised segmentation and object tracking (PDF) (Shu-Ching Chen et al)
Automatic video segmentation using a novel background model (PDF) (Yan Lu et al)
Image and Video Segmentation: the Normalized Cut Framework (PS) (Jianbo Shi et al)
A Hidden Markov Model Framework for Video Segmentation Using Audio and Image Features (PDF) (John S. Borecyky et al)
A Genetic Algorithm for Video Segmentation and Summarization (PDF) (Patrick Chiu et al)
Video segmentation using fast marching and region growing algorithms (PDF) (E. Sifakis)
Video Shot Cut Detection Using Adaptive Thresholding (PDF) (Y. Yusoff et al)
An automatic cut detection algorithm using median filter and neural network (PDF) (Seungchul Jun et al)
A spatiotemporal image sequence restoration algorithm (PDF) (A. Rares et al)
Image sequence restoration in the presence of pathological motion and severe artifacts (PDF) (A. Rares et al)
Restoration and Storage of Film and Video Archive Material (PDF) (P.M.B. van Roosmalen et al)
The Brava Project (Jean-Hugues Chenot, INA)
FRAME (European Centre for Parallel Computing at Vienna)
Image Sequence Restoration Using Gibbs Distributions (Robin David Morris)
Automatic Restoration Algorithms for 35mm film (PDF) (P. Schallauer et al)
Content Based Video Indexing Techniques (Di Zhon et al)
Applications of video-content analysis and retrieval (PDF) (N. Dimitrova et al)
Digital Image/Video Library and MPEG-7: Standardization and Research Issues (Postscript) (Yong Rui et al)
VideoQ: A Fully Automated Video Retrieval System Using Motion Sketches (PDF) (Shih-Fu Chang et al)
A Fast Content-Based Multimedia Retrieval Technique Using Compressed Data (PDF) (B. Furht et al)
Video Databases Design and Applications (PDF) (O. Marques)
VisualGREP: A Systematic Method to Compare and Retrieve Video Sequences (PDF) (Rainer Lienhart et al)
Scalable Coding of Video Objects (R. Haridasan et al)
Object-based Intra-frame Wavelet Video Coding (PDF) (T. Morris et al)
Life after Video Coding Standards: Rate Shaping and Error Concealment (PDF) (Trista Pei-chun Chen et al)
Overview: image and video coding standards JPEG: background (PDF) (Bernd Girod)
MPEG-1 and MPEG-2 Digital Video Coding Standards (Thomas Sikora)
MPEG7-Overview (Jose M. Martinez)
MPEG Background (Siddhartha Devadhar et al)
A video text detection and recognition system (PDF) (Jie Xi et al)
An automatic face detection and recognition system for video indexing applications (PDF) (E. Acosta et al)
Plume Detection and Tracking System (Won-Ha Kim)
Accurate Overlay Text Extraction for Digital Video Analysis (DongQing Zhang)
Stabilizing Augmented Reality Overlays of Hinged and Curved Planar Regions (PDF) (Robert B. Fisher)
Improving Augmented Reality using Image and Scene Constraints (PDF) (R.A. Smith et al)
3D face reconstruction from video using a generic model (PDF) (A. Roy Chowdhury et al)
Bayesian Reconstruction of 3D Human Motion from Single-Camera Video (PDF) (N.R. Howe et al)
Adaptive Elastic Models for Hand-Printed Character Recognition (Geoffrey Hinton et al)
Hand-Printed Character Recognizer using Neural Networks (PDF) (S. Malik)
Recognition of hand-printed latin characters based on generalized Hough transform and decision tree learning techniques (A. Amin)
Hierarchical recognition of structured hand-printed documents using rule-trees (C. Cracknell et al)
Improvement in handwritten numeral string recognition by slant normalization and contextual information (PDF) (Alceu De S. Britto Jr. et al)
Slant estimation algorithm for ocr systems (PDF) (E. Kavallieratou et al)
A Two Stage Classification Approach to Tamil Handwriting Recognition (PDF) (S. Hewavitharana et al)
A new normalization technique for cursive handwritten words (Alessandro Vinciarelli et al)
Nonuniform Slant Correction Using Dynamic Programming (PDF) (S. Uchida et al)
Structured Light Vision (PPT) (David Fofi)
Three-dimensional vision using structured light (PDF, Section 8.7, pages 24-26) (Machine Vision; David Vernon)
Texture synthesis (Rupert Paget)
Automated Visual Surveillance Using Hidden Markov Models (PDF) (V. Nairet al)
Advanced Visual Surveillance using Bayesian Networks (PDF) (H. Buxton et al)
Learning Behaviour Models of Human Activitie (PDF) (A. Galata et al)
Semantic Interpretation of Object Activities in a Surveillance System (PDF) (Jiangung Lou et al)
Classifying Surveillance Events from Attributes and Behaviour (PDF) (P. Remagnino et al)
Spatial and Probabilistic Modelling of Pedestrian Behaviour (PDF) (D. Makris et al)
Understanding Background Mixture Models for Foreground Segmentation (PDF) (P. Wayne Power et al)
Adaptive Color Background Modeling for Real-Time Segmentation of Video Streams (PDF) (A.R.J. Francois et al)
A Background Model Initialization Algorithm for Video Surveillance (PDF) (D. Gutchess et al)
A Novel Background Initialization Method in Visual Surveillance (PDF) (A. Bevilacqua et al)
Implementation of a Real-time Foreground/Background Segmentation System on the Intel Architecture (Postscript) (F.C.M. Martins et al)
Real Time Illumination Invariant Background Subtraction Using Local Kernel Histograms (Philippe Noriega, Olivier Bernier)
Modeling from Reality: Representing and Integration (PDF) (H. Shum)
An Adaptive Virtual-Reality User-Interface for Patient Access to the "Personal Electronic Medical Record" (PDF) (S. Maerkle et al)
SQUIDS: Interactive Deformation of Superquadrics for Model Matching in Virtual Environments (PDF) (J.Sinnott et al)
Virtual Reality Modeling Language Templates for Dynamic Model Construction (PDF) (T. Kim et al)
An Integrated Environment to Visually Construct 3D Animations (PDF) (E. Gobbetti et al)
A 3D Virtual Environment for Social Telepresence (PDF) (S. DiPaola et al)
Enhancing x-ray baggage inspection by interactive viewpoint selection (W.Pasman)
Countering Terrorism: The Role of Science and Technology (PDF) (Jesse L. Beauchamp)
Learning Patterns in Images (PDF) (R. Michalski et al)
A Hierarchical Approach to Sonar-Based Landmark Detection in Mobile Robots (PDF) (M. Golfarelli et al)
A Custom IR Scanner for Landmark Detection with the Autonomous Sewer Robot MAKRO (PDF) (E. Rome et al)
Color constancy for landmark detection in outdoor environments (PDF) (E. Todt et al)
Learning Landmarks (Robert Sim)
Landmark-based Navigation of Mobile Robots in Manufacturing (PDF) (Huosheng Hu et al)
Fast landmark tracking and localization algorithm for the mobile robot self-localization (PDF) (Kuk-Jin Yoon et al)
Computational Vision (PDF - (CogNet Access Req.) Part 11.2-3) (Computational Vision, H.A. Mallot, J.S. Allen)
Evolving Visual Object Recognition for Legged Robots (PDF) (J.C. Zagal et al)
Object detection in a noisy scene (PDF) (N. Albert et al)
Detection and Classification of Man-made objects in Polarimetric SAR imagery (Canada Centre for Remote Sensing)
Object-based representations of spatial images (PDF) (S. Newsam et al)
A 3D Head Tracker for an Automatic Lipreading System (PDF) (G. Loy et al)
Segmentation of a Head into Face, Ears, Neck and Hair for Knowledge-Based Analysis-Synthesis Coding of Videophone Sequences (Postscript) (M. Kampmann)
Facial Feature Detection Using A Hierarchical Wavelet Face Database (PDF) (R. Schmidt Feris et al)
Facial Feature Tracking for Eye-Head Controlled Human Computer Interface (PDF) (Jong-Gook Ko et al)
Face and Feature Tracking for Cursor Control (PDF) (V. Chauhan et al)
Automatic Understanding of Symbol-Connected Diagrams (Postscript) (Bin Yu)
Recognition of Logic Diagrams by Identifying Loops and Rectilinear Polylines (Postscript) (S.H. Kim et al)
Document image analysis: A primer (PDF) (R. Kasturi et al)
Line Primitive Extraction by Interpretation of Line Continuation (PDF) (R. Cao et al)
General Diagram-Recognition Methodologies (Postscript) (D. Blostein)
Architectural Floor Plan Analysis (Josep Llados et al)
Graphics Interpreter of Design Actions (Ellen Yi-Luen Do)
Face-tracking and coding for video compression (PDF) (W.E. Vieux et al)
Robust tracking and compression for video communication (PDF) (J.L. Crowley et al)
Does face recognition rely on encoding of 3-D surface? (Chang Hong Liu et al)
Topological Principal Component Analysis for face encoding and recognition (PDF) (A. Pujol et al)
Face Recognition Format for Data Interchange M1/03-0114 (PDF) (P. Griffin)
Constructing A Realistic Head Animation Mesh for a Specific Person (PDF) (U. Neumann et al)
Synthesis of 3d faces (PDF) (R. Enciso et al)
Evaluating Face Models Animated by MPEG-4 FAPs (PDF) (J. Ahlberg et al)
Facing virtual habitat: range-images face reconstruction and real-faced avatars (Stanislav Stanek et al)
Support Vector Machines for Face Authentication (PDF) (K. Jonsson et al)
On Modeling Variations For Face Authentication (PDF) (X. Liu et al)
Robust Features for Frontal Face Authentication in Difficult Image Conditions (Conrad Sanderson et al)
Independent Component Analysis for face authentication (PDF) (C. Havran et al)
Face Authentication for Multiple Subjects Using Eigenflow (PDF) (X. Liu et al)
Learning a similarity-based distance measure for image database organization from human partitionings of an image set (PDF) (University of Geneva)
Self Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization (PS) (Hebrew University of Jerusalem)
A WWW-Accessible Database for 3D Vision Research (PDF) (Ohio State University)
Arranging Pixels in a DBMS: When Vision and Databases Come Together (PDF) (University of Toronto)
2-D-S Tree: An Index Structure for Content-Based Retrieval of Images (GZIPPED PS) (University of Waterloo)
Data Modeling And Querying For Video Databases (PDF) (Bilkent University)
Person Counting Using Stereo (PDF) (David Beymer)
Real-time Vision-based People Counting System for the Security Door (PDF) (Jae-Won Kim et al)
Tracking Multiple People with Multiple Cameras (PDF) (S. Stillman et al)
Person Tracking Using Audio-Video Sensor Fusion (PDF) (Neal Checka et al)
Object Detection and Classification (Astronomical Data Analysis Software and Systems IV)
A combined approach for object detection and deconvolution (PDF) (J.L Starck et al)
Astronomical Object Recognition by means of Neural Networks (PDF) (R. Tagliaferri et al)
Identification of clouds and aurorae in optical data images (PDF) (R. Seviour et al)
Trainable Cataloging for Digital Image Libraries with Applications to Volcano Detection (PDF) (M.C. Burl et al)
Artificial Neural Networks as a Tool for Galaxy Classification (PDF) (O. Lahav)
Bayesian image reconstruction with space-variant noise suppression (PDF) (J. Numez et al)
Recent advances in augmented reality (PDF) (R. Azuma et al)
New Challenges for Character-Based AI for Games (PDF) (D. Isla et al)
Gesture and Speech Multimodal Conversational Interaction (PDF) (F. Quek et al)
Computer vision for computer games (PDF) (W. T. Freeman et al)
Image Processing for Cognitive Modeling in Dynamic Gaming Environments (PDF) (K. Shab et al)
Tracking Players in Sports Games (J. Pera et al)
Shape-Based Image Retrieval (PDF) (A. Vailaya)
Genetic algorithm for weights assignment in dissimilarity function for trademark retrieval (PDF) (D.Y.M. Chan et al)
Multi-modal retrieval of trademark images using global similarity (PDF) (S. Ravela et al)
Trademark retrieval using query by sketch (PDF) (Wing Ho Leung et al)
Real Time Tracking of Borescope Tip Pose (PDF) (K. Martin et al)
A Knowledge-Based Inspection Workstation (PDF) (E. Messina et al)
Real-time photogrammetric algorithms for robot calibration (PDF) (J. Hefele)
Hierarchical pose estimation from range data for space applications (PDF) (L. Simard)
Real-time 3-D Pose Estimation Using a High-Speed Range Sensor (PDF) (D.A. Simon et al)
Using Partial Models for Localising Objects in Range Images (PDF) (A.M. McIvor)
Development of terrain contour matching algorithm for the aided inertial navigation using radial basis functions (PDF) (Hyeon Cheol Gong)
Adaptive texture representation methods for automatic target recognition (PDF) (K. Messer et al)
Detection algorithms and track before detect architecture based on nonlinear filtering for infrared search and track systems (Alexander G. Tartakovsky)