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This paper proposes a real-time design for accurate stereo matching on compute unified device architecture (CUDA). We present a leading local algorithm and then accelerate it by parallel computing. High matching accuracy is achieved by cost aggregation over shape-adaptive support regions and disparity refinement using reliable initial estimates. A novel sample-and-restore scheme is proposed to make...
In this paper, we first propose a technique, referred as joint integral histograms, for weighted filtering with O(1) computational complexity. The technique is built on the classic integral images and the recent integral histograms. In a joint integral histogram, instead of remembering bin occurrences, the value at each bin indicates an integral defined by two signals. Beyond the integral histograms,...
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