This paper presents a new algorithm that robustly performs stereo matching for textureless regions in stereo images. To this end, we design an adaptive matching cost which employs a special term. This term can assign distinguishable values to pixels adaptively according to the texture information. Specifically, first, we improve the epipolar distance transform by utilizing a linear expansion function and obtain an adaptive epipolar distance transform (AEDT); second, we propose an adaptive matching cost utilizing the AEDT to deal with textureless region problems. Experiments on the Middlebury benchmark demonstrate that the proposed method can perform accurate stereo matching on textureless regions. Moreover, the experiments show that the proposed adaptive matching cost can be directly utilized to other methods to improve the disparity results in textureless regions.

中文翻译：

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立体匹配的自适应对极距离变换和自适应匹配代价

本文提出了一种新算法，可以对立体图像中的无纹理区域稳健地执行立体匹配。为此，我们设计了一种使用特殊术语的自适应匹配成本。该术语可以根据纹理信息自适应地为像素分配可区分的值。具体来说，首先，我们利用线性扩展函数改进对极距离变换，得到自适应对极距离变换（AEDT）；其次，我们提出了一种利用 AEDT 来处理无纹理区域问题的自适应匹配成本。在 Middlebury 基准上的实验表明，所提出的方法可以对无纹理区域执行准确的立体匹配。而且，