Computer Vision Courses

Computer Vision Courses

 

• Introduction to Image Processing and Analysis, Virginia Tech
  Lynn Abbott

   

• Perceptual Grouping, MIT, US
  Edward Adelson

   

• Computer Vision at IIT
  

   

• Computer Vision, Yale University, USA
  Peter Belhumeur

   

• Computer Vision, Boston College, USA
  Margrit Betke

   

• Computer Vision, University of South Florida
  Kevin Bowyer

   

• Computer Vision, University of Leeds, UK
  Roger Boyle

   

• Computational Vision, ESCET-URJC, Spain
  Angel Sanchez Calle and Jose F. Velez

   

• Image Processing (Image Understanding), Brown University, USA
  David Cooper

   

• Introduction to Computer Vision, University of Wisconsin, Madison, USA
  Charles Dyer

   

• Perceptual Grouping and Object Recognition, New York University, USA
  Davi Geiger and David Jacobs

   

• Computer Vision, Johns Hopkins University, USA
  Gregory D. Hager

   

• Computer Vision, Carnegie Mellon University, USA
  Martial Hebert

   

• Fundamentals of Computer Vision, Penn State University, USA
  Bill Higgins

   

• Computer Vision, University of Houston, USA
  Ioannis A. Kakadiaris

   

• Visual Interfaces to Computers, Columbia University, US
  John R. Kender

  Visual Computing, University of Rochester, US
  Kiriakos Kutulakos

   

• Computer Vision, UC Berkeley, USA
  Jitendra Malik

   

• Visual Grouping and Object Recognition, UC Berkeley, USA
  Jitendra Malik

   

• Computer Vision, Swarthmore College, US
  Bruce A. Maxwell

  Robot Perception, University of Porto, Portugal
  Mariofanna Milanova

   

• Computer Vision, University of Minnesota, US
  Nikolaos Papanikolopoulos

   

• Computer Vision, Middlebury College, US
  Daniel Scharstein

   

• Image and Video Computation, Boston University, US
  Stan Sclaroff

   

• Vision for Graphics, University of Washington, US
  Steve Seitz and Richard Szeliski

   

• Image Analysis, University of Washington, US
  Linda Shapiro

   

• Image Understanding, University of Washington, US
  Linda Shapiro

   

• Digital Image Processing, University of Iowa, US
  Milan Sonka

   

• Image Analysis and Understanding, University of Iowa, US
  Milan Sonka

   

• Computer Vision, Hiram College, US
  Ellen Walker

  Applied Machine Vision, Nanyang Technological University, Singapore
  M Xie

  Computation Vision and Biological Perception, Yale University, US
  Steve Zucker

• Introductory Computer Vision class homepages

  MIT -- Bill Freeman

  University of Illinois -- David Kriegman

  University of Wisconsin -- Chuck Dyer

  Stanford -- Christoph Bregler, Stan Birchfield

  Berkeley -- Jitendra Malik

  Carnegie-Mellon -- Tai Sing Lee

  Carnegie-Mellon -- Martial Hebert

  UCLA -- Stefano Soatto

  University of Washington -- Steve Seitz

  Johns Hopkins -- Gregory Hager

  University of Pennsylvania -- C.J. Taylor

  Penn State -- Octavia Camps

  University of Maryland -- Larry Davis

  Rutgers -- Doug DeCarlo

  Australian National University -- Gareth Loy

  Toronto -- Allan Jepson

  Princeton -- Szymon Rusinkiewicz

  UC San Diego (Image Processing) -- Serge Belongie

   

  Advanced Vision classes/seminars

   

  Berkeley -- Advanced Topics in Computer Vision & Robotics -- Jana Kosecka

  MIT -- Computer Vision for Interface and Surveillance -- Trevor Darrell

  Carnegie-Mellon -- Image-based Modeling and Rendering -- Paul Heckbert, Jianbo Shi

  Carnegie-Mellon -- Advanced Perception -- Martial Hebert

  UC Santa Barbara -- Matthew Turk

  Caltech -- Dynamic Machine Vision for Intelligent Vehicles -- Ernst Dickmanns

   

  Introductory Robotics classes

   

  University of Washington -- Dieter Fox

  Carnegie-Mellon -- Illah Nourbakhsh

  University of Pennsylvania -- Kostas Daniilidis

   

  Advanced Robotics classes/seminars

   

  University of Washington -- AI-based Mobile Robotics -- Dieter Fox

  Carnegie-Mellon -- Fundamentals of AI for Robotics -- Andrew Moore

  Carnegie-Mellon -- Statistical Techniques in Robotics -- Sebastian Thrun

  Berkeley -- Advanced Topics in Robotics -- Ken Goldberg

  MIT -- Probabilistic Techniques for Mobile Robotics -- John Leonard

   

  Miscellaneous

   

  Georgia Tech -- Machine Learning -- Frank Dellaert

   

  Other lists

   

  One compiled at Swarthmore