Yingnan Geng

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Gradient similarity is a simple, yet powerful, data descriptor which shows robustness in stereo matching. In this paper, a RGB vector space is defined for stereo matching. Based on the adaptive support-weight approach, a matching algorithm, which uses the pixel gradient similarity, color similarity, and proximity in RGB vector space to compute the(More)
Many algorithms for stereo matching including local optimization methods and global optimization methods have been proposed. Belief propagation (BP) method as a global method is one of the best methods for stereo matching. But BP method has still problem due to the ambiguous appearances of pixels in the stereo images. In order to make appearances of the(More)
Stereo matching is one of the most active research areas in computer vision. Many algorithms including local algorithms and global algorithms have been proposed. As a global algorithm, belief propagation (BP) is one of the best algorithms for stereo matching. But BP algorithm is still a difficult problem because of ambiguous matching of the edge points. In(More)
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