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Welcome to CS 766: Computer Vision

(Spring 2015)

This course will provide an introduction to computer vision, including such topics as image formation, feature extraction, calculating motion estimates, image mosaics, 3D shape reconstruction, object recognition, and image segmentation. These techniques will be discussed in the context of problems including building 3D maps, organizing photo and video databases, human computer interaction, surveillance, automatic vehicle navigation, and performing general purpose inference from image data. We will also discuss applications of these ideas to other disciplines.


  • Data structures and Algorithms
  • Basic proficiency in C++/JAVA programming and/or Matlab
  • Basic proficiency in probability, calculus, and linear algebra

Course email list:

Course homepage:

Computer Vision: Algorithms and Applications
Szeliski (only need a few chapters from here; you do not need to buy unless you want to)

Multiple View Geometry in Computer Vision
Zisserman/Hartley (very useful reference; excellent addition to your bookshelf)

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Page last modified on January 21, 2015, at 03:35 PM