TEACHING IMAGE COMPUTATION: FROM COMPUTER GRAPHICS TO COMPUTER VISION
Bruce A. Draper, J. Ross Beveridge · International Journal of Pattern Recognition and Artificial Intelligence · 2001
This paper describes a course in image computation that is designed to follow and build up an established course in computer graphics. The course is centered on images: how they are generated, manipulated, matched and symbolically described. It builds on the student's knowledge of coordinate systems and the perspective projection pipeline. It covers image generation techniques not covered by the computer graphics course, most notably ray tracing. It introduces students to basic image processing concepts such as Fourier analysis and then to basic computer vision topics such as principal components analysis, edge detection and symbolic feature matching. The goal is to prepare students for advanced work in either computer vision or computer graphics.