A Simplified HS Algorithm in Optical Flow Estimation

Wei Wei-bo, Liu Bowen, Pan Zhenkuan, Wang Zhi
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引用次数: 2

Abstract

Optical flow estimation is one of the important domains in computer vision. HS algorithm based on variational method is a classical optical flow estimation method, which can get consecutive smooth optical flow field in motion segmentation domain. But it usually takes a lot of time to calculate the HS model. In this paper, how HS algorithm gets optical flow field is analyzed firstly, and then a simplified HS algorithm is proposed, which does not need complex computation. Finally, Experiments demonstrate the validity and efficiency of the proposed method.
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一种简化的HS光流估计算法
光流估计是计算机视觉中的一个重要领域。基于变分法的HS算法是一种经典的光流估计方法,可以在运动分割域中得到连续的光滑光流场。但是HS模型的计算通常需要花费大量的时间。本文首先分析了HS算法如何获得光流场,然后提出了一种简化的HS算法,该算法不需要复杂的计算。最后,通过实验验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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