Stereo matching has a critical disadvantage in that 3D data acquired with this method is not accurate because only intensity data from the image can be utilized. Optimization processes such as belief propagation and graph cuts increase the robustness and accuracy of the 3D data, but these require significant computational power. We propose a novel method of stereo matching that utilizes surface normal data derived from the photometric stereo technique. We obtain an improved depth map without requiring additional optimization.

中文翻译：

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利用表面法线数据的新型立体匹配方法

立体匹配具有一个严重的缺点，因为用这种方法获取的3D数据不准确，因为只能利用来自图像的强度数据。诸如置信传播和图形切割之类的优化过程可提高3D数据的鲁棒性和准确性，但是这些过程需要大量的计算能力。我们提出了一种新的立体匹配方法，该方法利用了从光度立体技术派生的表面法线数据。我们无需其他优化即可获得改进的深度图。