Recognition, Categorization, Estimation
Topic Who
(email, Name)
Location Title Lectures Students Level Resources
(printed, online, other)
3.3.1 nmb@cs.mu.OZ.AU
Barnes, Nicholas Mark
Computer Vision and Machine Intelligence Laboratory, Department of Computer Science and Software Engineering, University of Melbourne
Melbourne, Australia
Autonomous Robots advanced 15 . Material from Srinivasen's group, with fixation and log-polar from LIRA lab

3.3.1 giovanni.bianco@univr.it
Bianco, Giovanni M.
University of Verona
Verona, Italy
Robotics 15 12 intermediate Latombe and recent congress papers

3. dibio@ppgia.pucpr.br
Borges, Dibio Leandro
Pontifical Catholic University of Parana
Curitiba, Brazil
Computer Vision 45 10 advanced books by Haralick & Shapiro (Robot Vision I and II) and classes overheads
CVonline
3.3.1./2./4. roger@comp.leeds.ac.uk
Boyle, Roger
School of Computing
University of Leeds
Leeds, Great Britain
Cognitive Science
20
10
100 - 150
intermediate primarily Sonka et al.
Syllabus
Lecture description
3.3.1
3.3.6
josep@gps.tsc.upc.es
Casas, Josep R.
Signal Theory and Communication Department
University of Catalonia
Spain
Digital Image Processing
Image Transmission and Storage
Introduction to Image Processing
Image and Video Segmentation
60
30
30 to 60 students at degree level
3 to 10 students at doctorate level
24 hours at undergraduate level
intermediate
Syllabus
Syllabus

3.3.1. decarlo@cs.rutgers.edu
DeCarlo, Doug
Rutgers University
USA
Perceptual organization 1 10 intermediate - S. Palmer, Vision Science, Section 6-6.3. - Marr, Vision: Sections 2.3-2.5 - Jacob Feldman's upcoming paper in IJCV on this topic
Lecture info

3.3.1 denzler@informatik.uni-erlangen.de
Denzler, Joachim
University of Erlangen
Erlangen, Germany
Probabilistic modeling of sequences of perception and action 1 5-10 intermediate
Lecture
3.1.
3.2.
draper@CS.ColoState.EDU
Draper, Bruce
Computer Science Department
Colorado States University
USA
topics in computer vision and biomimetic computer vision 30
3

10
intermediate advanced published papers, Palmer's Vision Science, Milner & Goodale's The Visual Brain in Action, Kosslyn's Image and Brain. Rolls & Deco's Computational Neuroscience of Vision
Trucco & Verri's Introduction to 3D Computer Vision

Lecture description
Syllabus
3.1.
3.2.
dirk.vandyck@ua.ac.be
Dyck, D.Van
University of Antwerp
Antwerp, Belgium
image processing 30 . intermediate

3.1.
3.3.
dyer@cs.wisc.edu
Dyer, Charles
University of Wisconsin-Madison
USA
Computer Vision . . intermediate
Lecture description

Syllabus
3.1.4. mfe@isy.liu.se
Felsberg, Michael
Computer Vision Labority
Linkoeping University
Linkoeping, Sweden
Rotation and Phase Invariant Representations of Local Image Structure . . advanced
Lecture
3.2. rbf@inf.ed.ac.uk
Fisher, Bob
Institute of Perception, Action and Behaviour, University of Edinburgh
Edinburgh, Great Britain
Computational Vision 9 20 intermediate
all about the Lecture
The Joy of ... (web book)
3.1.
3.3.4.
agoshtas@cs.wright.edu
Goshtasby, Ardeshir
College of Engineering and Computer Science
Wright State University
USA
Computer Vision I, II 20 20 intermediate electronic computer vision journals
Lecture materials
Lecture materials
3.1.
3.3.
hager@cs.jhu.edu
Hager, Greg
John Hopkins University
USA
Computer Vision . . introductory
Lecture info

3.3. gmh@dai.ed.ac.uk
Hayes, Gillian
University of Edinburgh
Edinburgh, Great Britain
Machine Vision . . intermediate
Lecture description
Syllabus

3.
2.1
liedtke@tnt.uni-hannover.de
Liedtke, Claus-E.
University of Hannover
Hannover, Germany
Image Processing
Computer Aided Scene Analysis
30 + 15 exercises 20-30 intermediate
all about the Lecture
all about the Lecture

3.3. alemecoc@tin.it
Mecocci, Alessandro
Department of Computer Engineering
University of Sienna
Sienna, Italy
Subpart of Digital Image Processing 30 to 40 . intermediate

video, sounds, slides
3.3.4. vittorio.murino@univr.it
Murino, Vittorio
University of Verona
Verona, Italy
. 10 20 intermediate

3.2 niemann@informatik.uni-erlangen.de
Niemann, Heinrich
University of Erlangen
Erlangen, Germany
. . . .
Lecture
3.1.
3.3.2./4.
jpa@ks.informatik.uni-kiel.de
Pauli, Josef
Christian-Albrechts-Universität zu Kiel, Institut für Informatik und Praktische Mathematik
Kiel, Germany
. 13
13
15
15
. Lecture
3.3.4 pinz@emt.tu-graz.ac.at
Pinz, Axel
Graz University of Technology
Graz, Austria
Image Understanding 2 semester-hours lecture, 1 semester-hour practice 20 intermediate book "Bildverstehen", Springer Verlag, 1994

3.1 tpp@Cs.Nott.AC.UK
Pridmore, Tony
School of Computer Science and Information Technology
University of Nottingham
Nottingham, Great Britain
Vision and Image Processing 3 . intermediate

.1.
3.2.
petia@cvc.uab.es
Radeva, Petia
Computer Vision Center, University of Barcelona
Barcelona, Spain
Model-Based Analysis 10 15 intermediate advanced powerpoint presentation

3.1.
3.2.
3.3.1.
carlo@dibe.unige.it
Regazzoni, Carlo
Signal Processing and Telecommunications Group
Dept. of Biophysical and Electronic Engineering
University of Genova
Genova, Italy
Pattern Recognition: theory and techniques 50 20-25 intermediate
Lecture description
3.3.1./4. rigoll@ei.tum.de
Rigoll, Gerhard
Lehrstuhl fuer Mensch-Maschine-Kommunikation, TU Muenchen
Muenchen, Germany
Human-Machine Communication 2 . 20-50 intermediate
Lecture description
3.3.1. sandini@dist.unige.it
Sandini, Giulio
Labotatory for Integrated Advanced Robotics
University of Genova
Genova, Italy
Natural and Artificial Intelligent Systems 50 40-50 intermediate advanced Chapters of Textbooks (e.g Kandel and Gazzaniga)
scientific articles

Lecture description
Copies of transparencies
3.1.
3.3.
schar@middlebury.edu
Scharstein, Daniel
Middelbury College
Middelbury, USA
Computer Vision . . intermediate Lecture info
3.1.
3.3.
sclaroff@cs.bu.edu
Sclaroff, Stan
Boston University
Boston, USA
Image and Video Computation . . . Lecture description
3.1.
3.3.
seitz@cs.washington.edu
Seitz, Steven
University of Washington
Washington, USA
Computer Vision . . intermediate all about the Lecture
3.1.
3.2.
3.3.4.
seki@ic.kanagawa-it.ac.jp
Seki, Yasuo
Department of Information and Computer Sciences Kanagawa
Institute of Technology
Kanagawa, Japan
Image media understanding 13 13 intermediate Japanese translations of "Robot Vision" by P.K.P. Horn
"Computer Vision" by D.H.Ballard and C.M. Brown


3.4. shapiro@cs.washington.edu
Shapiro, Linda
University of Washington
Washington, USA
Image Understanding . . intermediate Lecture description
3.1. milan-sonka@uiowa.edu
Sonka, Milan
University of Iowa
Iowa, USA
Digital Image Processing . . intermediate Syllabus Lecture
3. sziranyi@sztaki.hu
Sziranyi, Tamas
Computer and Automation Research Institute of the Hungarian Academy of Sciences
Budapest, Hungary
Image processing / Biometrics in recognition/ Image measurements 16x 4 / 2 / 4 50 / 10 / 20 intermediate advanced

Lecture description, Lecture description
3.1.
3.2.
roberto@dimi.uniud.it
Vito, Roberto
Machine Vision Laboratory,University of Udine
Udine, Italy
. 48 30 intermediate
MATLAB code already developed and tested
Lecture description
3. Jordi.Vitria@uab.es
Vitrià, Jordi
Computer Vision Center, University of Barcelona
Barcelona, Spain
Computational Vision 15 75 intermediate - Emanuele Trucco, Alessandro Verri. Introductory Techniques for 3-D Computer Vision. (March 6, 1998) Prentice Hall; ISBN: 0132611082 - J.Vitria, Visió per Computador , Servei Publicacions de la UAB, 1995, ISBN 84-490-0295
Lecture description (in Catalan)
3.1. sumbaug/@ee.siue.edu
Umbaugh, Scott
Southern Illinois University at Edwardsville
Edwardsville, USA
Computer Vision
Digital Image Processing
. . intermediate Syllabus Syllabus
3.1. swachsmu@TechFak.Uni-Bielefeld.DE
Wachsmuth, Sven
Faculty of Technology of Bielefeld University
Bielefeld, Germany
Pattern Analysis 14 40-50
40-50
intermediate German lecture scripts


Last modified: Mon Sep 16 16:05:25 BST