Multilevel enhancement and detection of stereo disparity surfaces

摘要

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 the goodness of each and every possible match.