COS 496 - Computer Vision

Spring, 2002


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Description

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.


Lectures

MW 3:00-4:20, CS 103


Instructor

Szymon Rusinkiewicz
CS Building, Room 405
258-7479
smr@cs.princeton.edu
Office hours: TW 4:20-5:30 or by appointment

TA

Wagner Corrêa
CS Building, Room 414
258-5388
wtcorrea@cs.princeton.edu
Office hours: M 11:00-12:00

Undergraduate Coordinator

Tina McCoy
CS Building, Room 410
258-1746
tmmccoy@cs.princeton.edu


Getting Help

If you have a question, send mail to cs496@princeton.edu (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
cs496@princeton.edu