Syllabus: CS 682 Computer Vision

Spring 2005

Wednesday 7:20pm - 10:00pm in IN 207

Dr. Zoran Duric
Office: S&T II, Rm. 427
Phone: 993-1717
email: zduric@cs.gmu.edu
Office Hours: Wednesday 3:00-5:00pm 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
Binary vision systems: segmentation and connected components
Gray scale and color vision systems: edge and corner detection, matching
3-D Vision: geometry of image formation, camera calibration, stereo, recognizing 3d objects from models
Motion and navigation: video image processing and time-varying image analysis

Applications to

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

are presented. All programming assignments will be done in either Matlab or Octave. You will learn about these languages in class.

References

Computer Vision by Shapiro & Stockman, Prentice Hall.
Class notes (will be posted on the course web page)
Selected papers.

 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)