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Using optic flows as extra constraints for binocular stereo matching

机译:使用光学流量作为双目立体声匹配的额外约束

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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:立体声匹配技术是一个热门问题和计算机愿景的难题。因为匹配的准确性和实时会影响后续工作,但立体声匹配技术也是视野中的一个核心问题。鉴于双目立体声匹配算法的当前稳定性和精度差,所附光流作为立体匹配算法的额外条件。这种方法不需要末膜约束;因此,对应研究范围在于以种子点位置为中心的平方区域。此外,对应研究在连续图像序列中而不是左右图像对进行。因此,对于右图像序列,可以在与左图像中的种子点匹配的所有候选点上计算光学流。实验结果表明,该方法可以提高匹配的精度和稳定性。

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