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Bilaterally Weighted Patches for Disparity Map Computation

机译:视差图计算的双向加权补丁

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Visual correspondence is the key for 3D reconstruction in binocular stereovision. Local methods perform block-matching to compute the disparity, or apparent motion, of pixels between images. The simplest approach computes the distance of patches, usually square windows, and assumes that all pixels in the patch have the same disparity. A prominent artifact of the method is the "foreground fattening effet" near depth discontinuities. In order to find a more appropriate support, Yoon and Kweon introduced the use of weights based on color similarity and spatial distance, analogous to those used in the bilateral filter. This paper presents the theory of this method and the implementation we have developed. Moreover, some variants are discussed and improvements are used in the final implementation. Several examples and tests are presented and the parameters and performance of the method are analyzed.
机译:视觉对应是双目立体视觉中3D重建的关键。局部方法执行块匹配以计算图像之间像素的视差或视在运动。最简单的方法是计算色块(通常是正方形窗口)的距离,并假定色块中的所有像素都具有相同的视差。该方法的一个显着伪像是深度不连续附近的“前景增肥效果”。为了找到更合适的支持,Yoon和Kweon引入了基于颜色相似性和空间距离的权重的使用,类似于双边过滤器中使用的权重。本文介绍了这种方法的理论以及我们已经开发的实现。此外,讨论了一些变体,并在最终实现中使用了改进。给出了几个例子和测试,并分析了该方法的参数和性能。

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