Stereo Matching with Reliable Disparity Propagation
Stereo Matching with Reliable Disparity Propagation
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DOI：
10.1109/3dimpvt.2011.24
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发表时间：
2011-05
期刊：
影响因子：
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通讯作者：
Xun Sun;Xing Mei;Shaohui Jiao;Mingcai Zhou;Haitao Wang
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文献类型：
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作者：
Xun Sun;Xing Mei;Shaohui Jiao;Mingcai Zhou;Haitao Wang
本文提出了一种新的基于传播的立体匹配算法。从初始视差图开始，我们的算法选择高度可靠的像素和传播他们的差距沿着扫描线，以产生密集的视差结果。其核心思想是为每个像素构建一个具有局部颜色和连通性约束的线段区域。逐像素线段被有效地用于计算初始视差，选择可靠的像素和确定适当的传播区域。条纹伪影在细化过程中被有效地去除。实验结果表明，该方法的性能：它在Middlebury基准中排名第5，并且可以在几秒钟内计算出结果。
In this paper, we propose a novel propagation-based stereo matching algorithm. Starting from an initial disparity map, our algorithm selects highly reliable pixels and propagates their disparities along the scan line to produce dense disparity results. The key idea is to construct a line segment region for each pixel with local color and connectivity constraints. The pixel wise line segments are efficiently used to compute initial disparities, select reliable pixels and determine proper propagation regions. Streaking artifacts are effectively removed in a refinement process. Experimental results demonstrate the performance of the proposed method: it ranks 5th in the Middlebury benchmark, and the results can be computed within a few seconds.