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首页> 外文期刊>Journal of visual communication & image representation >Discontinuity preserving disparity estimation with occlusion handling
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Discontinuity preserving disparity estimation with occlusion handling

机译：通过遮挡处理保留不连续性的视差估计

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摘要

In this paper, we propose a stereo matching algorithm based on distance transform to generate high-quality disparity maps with occlusion handling. In general, pixel intensities around object edges are smeared due to mixed values located between the object and its background. This leads to problems when identifying discontinuous disparities. In order to handle these problems, we present an edge control function according to distance transform values. Meanwhile, occluded regions occur, i.e., some portions are visible only in one image. An energy function is designed to detect such regions considering warping, cross check, and luminance difference constraints. Consequently, we replace the disparity in the occluded region with the one chosen from its neighboring disparities in the non-occluded region based on color and spatial correlations. In particular, the occlusion hole is filled according to region types. Experimental results show that the proposed method outperforms conventional stereo matching algorithms with occlusion handling.
机译：本文提出了一种基于距离变换的立体匹配算法，以生成具有遮挡处理的高质量视差图。通常，由于位于对象及其背景之间的混合值，对象边缘周围的像素强度会模糊。当识别不连续的差异时，这导致问题。为了解决这些问题，我们提出了一种根据距离变换值的边缘控制功能。同时，发生遮挡区域，即，某些部分仅在一张图像中可见。考虑到翘曲，交叉检查和亮度差约束，设计了能量函数来检测此类区域。因此，我们根据颜色和空间相关性，用从非遮挡区域中的相邻视差中选择一个遮挡区域中的视差。特别地，根据区域类型填充闭塞孔。实验结果表明，该方法在遮挡处理方面优于传统的立体匹配算法。

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