CIS 700-010, GPU Programming and Architecture, taught by Suresh Venkatasubramanian from AT&T Labs at the University of Pennsylvania in Spring 2005. OpenVidia is being developed at the University of Toronto. It has a chapter in the new GPU Gems 2 book distributed by NVidia. They have developed techniques for object tracking, image compositing, and object tracking. Their work links to real time video. PyFX is a Python framework that makes using the GPU accelerated image processing very easy. Mac OSX Tiger Core Image and CoreVideo exposes the power of the GPU to mac users. They provide a large array of filters, and have integrated it into their GUI, aqua. NVidia Samples have numerous examples of Image Processing on the GPU. Of particular interest are GPU Video Effects, FFT on the GPU, Image Processing, and Filter Blit. Neural Network on GPU GPGPU generally has most of the up to date information on Computer Vision and Image Processing on teh GPU. http://www.couleur.org/ contains important information about color conversion algorithms, and which colorspaces are good for certain purposes.   Ikkjin Ahn, Michael Lehr http://gpuvision.sourceforg.net/ gpuvision@gmail.com July 1, 2005