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Using optic flows as extra constraints for binocular stereo matching

机译:使用光流作为双目立体匹配的额外约束

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Stereo matching techniques is a hot issue and a difficult problem of computer vision. Because the accuracy and real-time of matching will affect the follow-up work, stereo matching techniques is also a central issue in the visual field. In view of the current stability and accuracy of binocular stereo matching algorithm is poor, the optic flows as an additional condition of a new algorithm for stereo matching is presented. This method doesn't need epipolar constraint; therefore the range of correspondence research is within a square area centred on the seed point position. Furthermore, the correspondence research is conducted in continuous image sequences rather than the left and right image pairs. So, for the right image sequence, the optic flows can be calculated on all candidate points to be matched with the seed points in the left image. The experimental results demonstrate that this method can improve the matching accuracy and stability.
机译:立体匹配技术是计算机视觉的一个热门问题和一个难题。由于匹配的准确性和实时性会影响后续工作,因此立体声匹配技术也是视觉领域的中心问题。鉴于目前双目立体匹配算法的稳定性和准确性较差,提出了一种新的立体匹配算法,将光学流作为附加条件。该方法不需要对极约束。因此,对应研究的范围在以种子点位置为中心的正方形区域内。此外,对应研究是在连续的图像序列而不是左右图像对中进行的。因此,对于右图像序列,可以在所有候选点上计算出与左图像中的种子点相匹配的光流。实验结果表明,该方法可以提高匹配精度和稳定性。

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