COS 429 - Computer Vision

Spring 2004

News:
	Apr 29	Lecture notes for today are available.
	Apr 27	Final project proposals due.

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 signal processing, statistics, and/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

TTh 11:00-12:20, CS Building, room 102

Instructor Szymon Rusinkiewicz CS Building, Room 405 258-7479 smr at cs Office hours: TTh 2-3	Guest Lecturer Harpreet Sawhney Sarnoff Corporation hsawhney at sarnoff dot com
TA Nathaniel Dirksen CS Building, Room 001B 258-1781 ndirksen at cs Office hours: M 1:30-3:30 (room 418b - Graphics Lab)	Undergrad Coordinator Tina McCoy CS Building, Room 410 258-1746 tmmccoy at cs