Syllabus: CS 682 Computer Vision

Spring 2009

Tuesday 4:30 - 7:10 pm in IN 136

Dr. Zoran Duric
Office: S&T II, Rm. 427
Phone: 993-1717
email: zduric@cs.gmu.edu
Office Hours: Tuesday 2:00-4:00pm, Thursday 1:30-2:30pm or by appointment

Current information about this course will be kept on a CS 682 web page:
http://cs.gmu.edu/~zduric/cs682.html

Course Content

Study of computational models of visual perception and and their implementation in computer systems. Topics include:

Image formation, mathematical and physical background
Image representation and data structures for image analysis
Image preprocessing
Segmentation
Shape representation and description
Object recognition
Image understanding
3D vision, geometry
Motion analysis

Applications to

video surveillance
human motion analysis
gesture recognition and human-computer interaction
intelligent highways

are presented.

References

Image Processing, Analysis, and Machine Vision. Sonka, Hlavec, and Boyle. Thomson.
Image Processing, Analysis, and Machine Vision: A MATLAB Companion. Svoboda, Kybic, and Hlavec. Thomson.
Class notes (will be posted on the class web page).

 Grading
The course grade will be determined approximately as follows:

 Class participation and presentations:	10%
 Midterm:  20%
 Final:  20%
 Homeworks: 30%
 Project:	20%

Zoran Duric (zduric@cs.gmu.edu)