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A fast binocular vision stereo matching algorithm

机译:一种快速的双目视觉立体匹配算法

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摘要

To resolve the problem of large computational cost and complexity of current binocular vision stereo matching algorithm, a fast Indoor stereo matching algorithm based on line moments and the angle vector is presented. Firstly, the method detects image edge using Canny operator, and finds the target objects according line moments, then feature points of the objects' contours are extracted. Finally, matching the pixel in stereo image pair according the angle vector. The algorithm effectively reduces the computational complexity, computational cost is decreased greatly. The experimental results show that The algorithm is possible and valid.
机译:为了解决当前双目视觉立体匹配算法计​​算量大,复杂度高的问题,提出了一种基于线矩和角度矢量的快速室内立体匹配算法。该方法首先利用Canny算子对图像边缘进行检测,并根据线矩找到目标物体,然后提取出物体轮廓的特征点。最后,根据角度矢量匹配立体图像对中的像素。该算法有效地降低了计算复杂度,大大降低了计算成本。实验结果表明该算法是可行和有效的。

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