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首页> 外文期刊>Journal of visual communication & image representation >Edge-preserving guided filtering based cost aggregation for stereo matching
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Edge-preserving guided filtering based cost aggregation for stereo matching

机译：用于立体匹配的基于边缘保留的导向滤波的成本聚合

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摘要

Stereo matching has been widely used in various computer applications and it is still a challenging problem. In stereo matching, the filter-based stereo matching methods have achieved outstanding performance. A local stereo matching method based on adaptive edge-preserving guided filter is presented in this paper, which can achieve proper cost-volume filtering and keep edges well. We introduce a gradient vector of the enhanced image generated by the proposed filter into the cost computation and the Census transform is adopted in the cost measurement. This cost computation method is robust against radiometric variations and textureless areas. The edge-preserving guided filter approach is proposed to aggregate the cost volume, which further proves the effectiveness of edge-preserving filter for stereo matching. The experiments conducted on Middlebury benchmark and KITTI benchmark demonstrate that the proposed algorithm produces better results compared with other edge-aware filter based methods. (C) 2016 Elsevier Inc. All rights reserved.
机译：立体匹配已被广泛用于各种计算机应用中，这仍然是一个具有挑战性的问题。在立体声匹配中，基于滤波器的立体声匹配方法取得了出色的性能。提出了一种基于自适应边缘保留导引滤波器的局部立体声匹配方法，该方法可以实现适当的代价量滤波并保持边缘良好。我们将提出的滤波器生成的增强图像的梯度矢量引入成本计算中，并在成本测量中采用人口普查变换。这种成本计算方法可抵抗辐射变化和无纹理区域。提出了一种边缘保持导引滤波器的方法来汇总成本，进一步证明了边缘保持滤波器在立体声匹配中的有效性。在Middlebury基准和KITTI基准上进行的实验表明，与其他基于边缘感知滤波器的方法相比，该算法产生了更好的结果。 （C）2016 Elsevier Inc.保留所有权利。

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