CVonline: Geometric Feature Extraction Methods

  1. General
  2. 3D from
    1. Line Drawings
  3. Boundary/Line/Curve Segmentation
    1. Breakpoint/Corner Detection
    2. Lowe's Method
    3. Multi-Scale Methods
    4. Recursive Splitting
  4. Compressed Image Feature Extraction
    1. Camera Motion Estimation
    2. Color Distributions/Descriptors
    3. Edges
    4. Salient Points
    5. Texture Descriptors
  5. Connected Component Labeling
  6. Corner and Interest Point Feature Detectors
    1. Curvature Scale Space
    2. Feature Point/Region Descriptor, incl. Lowe's SIFT
    3. Forstner Operator
    4. Haralick Operator
    5. Harris/Plessey Corner Finder, including Scale Adapted
    6. Moravec Operator
    7. Subpixel Corner Finding
    8. Susan Corner Finder
    9. Wavelet-Based Salient Point Detection
  7. Curve Fitting/Local Curvature Estimation
    1. Circle Fitting
    2. Curve Smoothing
    3. Ellipse Fitting
    4. Hyperbola Fitting
  8. Edge Detection and Enhancement
    1. Adaptive Edge Detection
    2. Canny/Deriche Edge Detector
    3. Color Edge Detectors
    4. Edge Types
      1. Edge Type Labelling
    5. Energy Function Based Edge Detectors
    6. Evaluation of Edge Detectors
    7. Extended Edge Detection
    8. First Derivative, Gradient Edge Detection
    9. High-pass Filter Edge Enhancement
    10. Hueckel and other Parametric Fitting Edge Detectors
    11. Kirsch Compass Edge Detector
    12. Marr-Hildreth, Laplacian of Gaussian, Zero-Crossing, Difference of Gaussian Edge Detector
    13. Mathematical Morphology Based Edge Detectors
    14. Multi-Dimension Edge Detection
    15. Multi-Scale Edge Detectors
    16. Optimal Edge Detectors (See also Canny Edge Detector)
    17. Other Edge Detectors
    18. Prewitt/Sobel Edge Detector
    19. Range/Depth Image Edge Detectors
    20. Regularization Based Edge Detectors
    21. Roberts Cross Edge Detector
    22. Robinson Edge Detector
    23. Second Derivative Operators (including Zero Crossing)
    24. Subpixel Edge Detection (See Subpixel Methods)
    25. Walsh Function/O'Gorman Edge Detector
  9. Edge/Line/Contour Feature Following, Grouping, Linking and Tracking
    1. 4/6/8 Connectivity
    2. Contour Tracking
    3. Dynamic Programming
    4. Edge Linking
    5. Graph Searching
    6. Hough Transform (See Transforms: Hough)
    7. Hysteresis Tracking
    8. Paired Boundaries, Paired Contours
    9. Relaxation Linking
    10. Search Trees
    11. Subjective Contours / Illusory Contours
      1. Stochastic Completion Fields
  10. Global Structure Extraction
    1. Ribbons
    2. Salient Features
    3. Symmetry Lines (See also Symmetry)
    4. Symmetry Planes
  11. Feature Histograms
    1. Histogram Analysis
    2. Multi-Dimensional Feature Histograms
    3. Pairwise Histograms
  12. Image Invariants
  13. Line Detection
    1. Image Ridges
  14. Mensuration
    1. Scene Object Size Estimation
    2. Subpixel/Superresolution Methods (See Subpixel Methods)
  15. Model-Based Feature Detection/Segmentation
  16. Point or Pixel Descriptions (See also Classification Transforms)
    1. Bar, Line Points
    2. Blob/Center-Surround Points
    3. Color Receptive Fields
    4. Gabor Filters
      1. Log-Gabor Filters
    5. Gaussian Derivatives
    6. Receptive Fields/Steerable Filters
    7. Steerable Pyramids
  17. Primal Sketch (See Marr's Theory)
  18. Region Detection
    1. Bayesian Network Methods (See Bayesian Networks)
    2. Boundary-Region Fusion
    3. Color/Spectrum Based/Chroma Keying/Bluescreen
    4. Facet Model-Based Extraction
    5. Maximally Stable Extremal Regions
    6. Region Boundary Extraction
    7. Salient Region Detection
    8. Superpixels
    9. Texture Based
    10. Methods
      1. Common Approaches
      2. Divide and Conquer
      3. Knowledge/Model Guided
      4. Recursive Splitting
      5. Region Growing
      6. Scale-Space
      7. Split and Merge
      8. Thresholding (See also more general Thresholding)
      9. Watersheds of Gradient Magnitude
      10. Waterfall Segmentation Hierarchy
  19. Ridge and Valley Detection
  20. Scanline Slices
  21. Skew Analysis and Estimation
  22. Spatial Relationship Detection
    1. Collinearity
    2. Coplanarity
    3. Intersection/Cotermination
    4. Relative Orientation
  23. Special Feature Extraction
    1. Focus of Expansion
    2. Ground Plane
    3. Horizon
    4. Occluding Contour Detection
    5. Vanishing Point
  24. Structure Tensor
  25. Surface Patches in Volumes
    1. Optimal Surface Detection
    2. Zucker-Hummel
  26. Surface Segmentation from 2 1/2D or 3D data
    1. Curvature-Based Surface Patch Detection (See also Principal Curvatures and Directions and other Local Shape Representations)
    2. Cylinder Detection
    3. Planar Facet/Triangulation Patch Detection
    4. Planar Surface Models
    5. Surface Clustering/Grouping
    6. Surface Discontinuity Detection
      1. Curvature
      2. Depth
      3. Surface Orientation
    7. Surface Fitting and Growing
      1. Cylinder Patch Extraction
      2. Planar Patch Extraction
      3. Quadric Patch Extraction
      4. Surface Shape Classification
    8. Surface Shape Parameter Estimation
      1. Cylinder
      2. Ellipsoid/Sphere
      3. Free-Form Surface
      4. Plane
      5. Quadric
      6. Torus
    9. Triangulation
  27. Surface Shape (Shape-From-X Methods)
    1. Contours/Silhouettes
    2. Defocus
    3. Focus
    4. Geometric Constraints
    5. Integrating Multiple Methods
    6. Line Drawings (See Line Drawings)
    7. Monocular Depth Cues
    8. Monocular Visual Space
    9. Motion
    10. Multiple Sensors (See Multi-Sensor Geometries)
    11. Perspective
    12. Photo-Consistency
    13. Photometric Motion
    14. Photometric Stereo
    15. Polarization
    16. Shading
    17. Shadows
    18. Specularities
    19. Structured Light
    20. Texture
    21. Texture Motion
    22. Zoom
  28. Texture
    1. Boundary Detection
    2. Classification
    3. Color Texture
    4. Fourier Descriptors
    5. Hierarchical Textures
    6. Shape Texture/Surface Roughness Characterization
    7. Structural/Syntactic Texture Representations
    8. Statistical Representations
      1. Co-occurrence, Cocurrence, Cooccurrence Matrices
      2. Edge Frequency
      3. Energy Measures
      4. Filter-based Descriptors
      5. Fractal Measures
      6. Histogram Methods
      7. Local Binary Patterns
      8. Markov Random Field Representations
      9. Moments of Intensity (See 2D Moments and their Invariants)
      10. Primitive Length, Run Length
      11. Spatial Frequency
    9. Texon/Texel Invariants and Representations
    10. Texture Field Grouping/Segmentation (See Texture-based Region Segmentation)
    11. Texture Gradients/Directions/Oriented Patterns
    12. Wavelet-based Texture Descriptors (See also the generic Wavelets)
  29. Topological Image Description
  30. Visual Routines, Empirical Feature Detectors
  31. Volume Detection
    1. Voxel Model Recovery
    2. Generalized Cylinder Detection
    3. Superquadric Detection
  32. Wavelet Feature Descriptors (See also the generic Wavelets)
    1. Wavelet Moment Invariants

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