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Depth Discontinuities by Pixel-to-Pixel Stereo Stan Birchfield and Carlo Tomasi We have developed an algorithm to find depth discontinuities from a stereo pair of images. It earns its name from the fact that it matches the pixels directly in the two images without preprocessing the images or using windows, thus producing a disparity map that preserves sharp changes in disparity. One interesting pa
KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker KLT is an implementation, in the C programming language, of a feature tracker for the computer vision community. The source code is in the public domain, available for both commercial and non-commerical use. The tracker is based on the early work of Lucas and Kanade [1], was developed fully by Tomasi and Kanade [2], and was explain
Stan Birchfield Associate Professor (now adjunct) Dept. of Electrical and Computer Engineering Clemson University After receiving a Ph.D. from Stanford University in 1999 and working on intelligent digital audio and video at a startup company in the Bay Area, I joined the faculty at Clemson in 2003, where I was involved in launching TrafficVision. I have been an Associate Editor for Machine Vision
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