Abstract
In this paper, we propose a new algorithm with an adaptive arbitrary support-pixel set, with an arbitrary shape and size, and adaptive support-weight according to perceptual grouping principle in the Markov random field framework. Adaptive arbitrary support-pixel set is a set of pixels which are selected based on the similarity law of the perceptual grouping principle from neighboring pixels of the pixel and can form support-region with arbitrary shape and size. The adaptive support-weight is computed based on the similarity and proximity law of the perceptual grouping. The adaptive support-weight must satisfy the constraint of the support-set. Then, the belief propagation is adopted to get the global optimal disparity for each pixel. The experiments for the rectified real gray images with ground truths show that the proposed method produces smooth and accurate disparity maps.
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