关键词: 立体匹配, 代价聚合, 传播滤波

Abstract:

To solve the edge mismatching problem in traditional local stereo matching method, a new local stereo matching method is proposed based on weight propagation in cost aggregation step. Firstly, Census combined with absolute difference on color and gradient is employed when computing the matching cost of pixels. Then, propagated filtering is introduced to smooth the matching cost while preserving edges in the disparity space image. The superiorities of this filter are exploits reused weight construction approach for filtering operation comparing with other filters. Finally, several post processing steps are presented to get the final disparity map. Experiments show that the proposed method is able to achieve accurate results on the 30 Middlebury data sets and outperform some other state-of-the-art methods（IGF，TSGO and Dog-Guided） on Middlebury benchmark.

Key words: stereo matching, cost aggregation, propagated filter