Abstract
Stereo matching methods based on color segmentation usually obtain the initial matching cost for each pixel and interpolate the disparity value with the local gradient of image patches. It is assumed that the image regions may be approximated with local surfaces in the initial matching cost aggregation. However, color segmentation and disparity plane estimation have high computational loads. This paper presents an efficient real-time stereo matching method to improve initial cost aggregation. The initial matching costs are computed using the direction of arbitrary slopes in matching cost volume without color segmentation and plane estimation procedures.
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