The searching space in stereo match is reduced from two dimensions to one by rectification.
通过双目视觉的外极线校正，可以将匹配的搜索空间由二维降低到一维。
Aiming at this case, a robust and real-time stereo match algorithm based on mutual information is proposed in view of practical applications.
本文针对这种情况，并从实时应用的角度出发，提出一种鲁棒的基于互信息的实时立体匹配算法。
A new feature-point-based stereo matching algorithm is proposed in this paper, in order to match feature points more efficiently and accurately.
为了快速并更精确的对特征点进行立体匹配，本文提出了一种新的基于特征点的立体匹配算法。
The paper processes gray match with the image gray and on the basis of correlative function. The paper processes feature stereo match with zero crossing.
灰度匹配是利用图像的灰度对两幅图像进行立体匹配，以相关函数为判断依据对图像进行立体匹配。
The paper processes gray match with the image gray and on the basis of correlative function. The paper processes feature stereo match with zero crossing.
灰度匹配是利用图像的灰度对两幅图像进行立体匹配，以相关函数为判断依据对图像进行立体匹配。
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