A MRF approach to optical flow estimation

J. Vlontzos, D. Geiger
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引用次数: 15

Abstract

A Markov random field (MRF) formulation for the problem of optical flow computation is studied. An adaptive window matching scheme is used to obtain a good measure of the correlation between the two images. A confidence measure for each match is also used. Thus, the input to the system is the adaptive correlation and the corresponding confidence. The MRF model is then used to estimate the velocity field and the velocity discontinuities. The problem of occlusions is addressed, and a relationship between occlusions and motion discontinuities is established.<>
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一种用于光流估计的MRF方法
研究了光流计算问题的马尔可夫随机场(MRF)公式。采用一种自适应窗口匹配方案,较好地度量了两幅图像之间的相关性。还使用了每个匹配的置信度度量。因此,系统的输入是自适应相关和相应的置信度。然后利用磁流变场模型估计速度场和速度不连续点。解决了遮挡问题,并建立了遮挡与运动不连续之间的关系。
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