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Stereo Correspondence with Occlusion Handling in a Symmetric Patch-Based Graph-Cuts Model

机译:基于对称补丁的图割模型中具有遮挡处理的立体对应

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A novel patch-based correspondence model is presented in this paper. Many segment-based correspondence approaches have been proposed in recent years. Untextured pixels and boundaries of discontinuities are imposed with hard constraints by the discontinuity assumption that large disparity variation only happens at the boundaries of segments in the above approaches. Significant improvements on performance of untextured and discontinuity area have been reported. But, the performance near occlusion is not satisfactory because a segmented region in one image may be only partially visible in the other one. To solve this problem, we utilize the observation that the shared edge of a visible area and an occluded area corresponds to the discontinuity in the other image. So, the proposed model conducts color segmentation on both images first and then a segment in one image is further cut into smaller patches corresponding to the boundaries of segments in the other when it is assigned with a disparity. Different visibility of patches in one segment is allowed. The uniqueness constraint in a segment level is used to compute the occlusions. An energy minimization framework using graph-cuts is proposed to find a global optimal configuration including both disparities and occlusions. Besides, some measurements are taken to make our segment-based algorithm suffer less from violation of the discontinuity assumption. Experimental results have shown superior performance of the proposed approach, especially on occlusions, untextured areas, and near discontinuities.
机译:本文提出了一种新颖的基于补丁的对应模型。近年来已经提出了许多基于片段的对应方法。在上述方法中,通过不连续性假设(即大视差变化仅发生在片段的边界处),可以对非纹理化像素和不连续性的边界施加严格的约束。据报道,无纹理和不连续区域的性能有了显着改善。但是,接近遮挡的性能并不令人满意,因为一个图像中的分割区域在另一图像中可能仅部分可见。为了解决这个问题,我们利用了观察区域和遮挡区域的共享边对应于其他图像中的不连续性的观察。因此,提出的模型首先在两个图像上进行颜色分割,然后在将一个图像分配有视差时,将一个图像中的一个片段进一步切成与另一个片段的边界相对应的较小色块。在一个网段中允许补丁具有不同的可见性。段级别中的唯一性约束用于计算遮挡。提出了使用图割的能量最小化框架以找到包括视差和遮挡的全局最优配置。此外,采取了一些措施以使我们的基于分段的算法不受违反不连续性假设的影响较小。实验结果表明,该方法具有优越的性能,特别是在遮挡,无纹理区域和不连续附近。

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