Instructor: Vassilis Athitsos
Joint undergraduate/graduate course:
CSE 4392 - Section 3
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.
Course web page:
Lecture times: Monday and Wednesday, 4:00pm-5:20pm
Classroom: NH 110