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The problem of stereo vision has been of increasing interest to the computer vision community over the past decade. This paper presents a new computational framework for matching a pair of stereo images arising from viewing the same object from two different positions. In contrast to previous work, this approach formulates the matching problem as detection of a "bright", coherent disparity surface in a 3D image called the spatio-disparity space (SDS) image. The SDS images represents thedoi:10.1016/0004-3702(95)00028-3 fatcat:lcjzoq7c7jbohf66xgjub6nopq