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A hybrid stereo matching algorithm incorporating the rank constraint

By Jasmine Banks, Mohammed Bennamoun, Kurt Kubik and Peter Corke


A fundamental problem faced by stereo vision algorithms is that of determining correspondences between two images which comprise a stereo pair. This paper presents work towards the development of a new matching algorithm, based on the rank transform. This algorithm makes use of both area-based and edge-based information, and is therefore referred to as a hybrid algorithm. In addition, this algorithm uses a number of matching constraints, including the novel rank constraint. Results obtained using a number of test pairs show that the matching algorithm is capable of removing most invalid matches. The accuracy of matching in the vicinity of edges is also improved

Topics: 080104 Computer Vision, 080106 Image Processing, stereo vision, image matching, rank transform
Publisher: Institution Of Electrical Engineers
Year: 1999
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