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Multi-layer superpixel-based MeshStereo for accurate stereo matching

机译:基于多层超像素的MeshStereo,可实现精确的立体声匹配

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This paper describes an approach to generate a dense disparity map between the stereo pairs using the multilayer superpixel with the different size. We assume the pixels within superpixel belong to the same 3D surface. The pixel-wise matching costs are computed with census and gradient features. Then, the input stereo images are segmented into M layers superpixel. SLIC algorithm is used to obtain superpixel. The disparity map for each superpixel image is generated by optimizing a superpixel grid MRF. There are the overlapping regions regardless of the size of the superpixel. The multiple disparity maps are merged by using the median filter.
机译:本文介绍了一种使用大小不同的多层超像素在立体对之间生成密集视差图的方法。我们假设超像素内的像素属于同一3D曲面。使用普查和梯度特征计算逐像素匹配成本。然后,将输入的立体图像分割成M层超像素。 SLIC算法用于获得超像素。通过优化超像素网格MRF来生成每个超像素图像的视差图。不管超像素的大小如何,都存在重叠区域。通过使用中值过滤器合并多个视差图。

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