CSE 4392/6367 - Computer Vision

Spring 2009
Instructor: Vassilis Athitsos


Joint undergraduate/graduate course:

CSE 4392 - Section 3
CSE 6367

This course introduces students to basic concepts and techniques in computer vision. The topics covered include image filters, edge detection, feature extraction, object detection, object recognition, tracking, gesture recognition, image formation and camera models, and stereo vision. 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. Students should ensure they have access to Matlab, including Matlab's image processing toolbox.

Grading will be based on programming assignments. Class lectures involve introducing and explaining computer vision concepts, and writing Matlab code illustrating how those concepts can be implemented and applied to specific examples. Programming assignments expand upon the code developed in lectures, so as to improve accuracy, efficiency, and/or generality.


Links


Course web page: http://vlm1.uta.edu/~athitsos/courses/cse6367_spring2009
Lecture times: Monday and Wednesday, 4:00pm-5:20pm
Classroom: NH 110

Optional Textbooks:
The course will not follow either textbook closely, and students are expected to heavily refer to class lectures and online class slides.
Instructor:
Vassilis Athitsos

Office: NH 309
Office Telephone: 817-272-0155
Office hours: MW 5:30pm-6:30pm, TuTh 3:30pm-4:30pm.
Teaching assistants (GTAs):
Jyothi Keshavan
E-mail: jyothikeshavan.vinjumur AT mavs DOT uta DOT edu
Office: NH 250
Office hours: MW 3:00pm-4:00pm, Fri 11:00am-12 noon.

Titus Abraham
E-mail: titus_abraham AT hotmail DOT com
Office: GACB 118
Office hours: MWF 1:00pm-2:00pm.