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Regularization of optic flow estimates by means of weighted vector median filtering

机译:通过加权矢量中值滤波对光流估计值进行正则化

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摘要

Vector median filtering has been recently proposed as an effective method to refine estimated velocity fields. Here, the use of a weighted vector median filtering is suggested to improve the regularization of the optic flow field across motion boundaries. Information about the confidence of the estimated pixel velocities is exploited for the choice of the filter weights. Experimental results, on both synthetic and real-world sequences, show the effectiveness of the proposed procedure.
机译:向量中值滤波最近被提出作为一种改进估计速度场的有效方法。在这里,建议使用加权矢量中值滤波来改善跨运动边界的光流场的规则性。关于估计的像素速度的置信度的信息被用于选择滤波器权重。在合成序列和实际序列上的实验结果都表明了所提出程序的有效性。

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