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COS 429 - Computer Vision

Spring 2004

Course home Outline and lecture notes Assignments


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