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COS 496 - Computer Vision

Spring 2003

Course home Outline and lecture notes Assignments



Course 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: 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.

Grading: There will be four programming assignments worth a total of 65% of the final grade, as well as a final project worth 35%.


Meeting time/place

MW 3:00-4:20, Room 102


Instructor

Szymon Rusinkiewicz
CS Building, Room 405
258-7479
smr@cs.princeton.edu
Office hours: TTh 3-4, MW after class, or by appointment

Undergraduate Coordinator

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


smr@cs.princeton.edu