COS 496 - Computer Vision

Spring, 2002

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An introduction to the concepts of 2D and 3D computer vision. Topics include: low-level image processing methods such as filtering and edge detection; segmentation and clustering; optical flow and tracking; shape reconstruction from stereo, motion, texture, and shading. Throughout the course, we also look at aspects of human vision and perception that guide and inspire computer vision techniques.

Prerequisites for the course are COS 217 and COS 226. The course will require programming (in C, C++, and/or Matlab), as well as some background in data structures and linear algebra. Experience with statistics or computer graphics is useful but not necessary.


MW 3:00-4:20, CS 103


Szymon Rusinkiewicz
CS Building, Room 405
Office hours: TW 4:20-5:30 or by appointment


Wagner Corrêa
CS Building, Room 414
Office hours: M 11:00-12:00

Undergraduate Coordinator

Tina McCoy
CS Building, Room 410

Getting Help

If you have a question, send mail to (will reach both the Professor and the TA), or post the question to the class newsgroup pu.cs.496.

Last update 12:05:14 29-Dec-2010