CSE 6367 - Computer Vision

Spring 2009
Instructor: Vassilis Athitsos

This course introduces students to basic concepts and techniques in computer vision. The topics covered include image formation and camera models, linear filters, edge detection, stereo vision, image segmentation, feature extraction, object detection, object recognition, tracking, and image/video databases. A strong programming background is assumed, as well as familiarity with linear algebra (vector and matrix operations). C++, Java, and Matlab will be the programming languages/environments used in the programming assignments.

Course web page: http://crystal.uta.edu/~athitsos/courses/cse6367_spring2009
Lecture times:TBA
Classroom:TBA

Textbook:

David A. Forsyth and Jean Ponce, "Computer Vision: A Modern Approach", first edition, Prentice Hall, 2002

Instructor:

Vassilis Athitsos

Office: NH 309
Office hours: TBA.

Teaching assistant:

TBA