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Symmetric Optical Flow

机译:对称光流

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摘要

One of the main technique used to recover motion analysis from two images or to register them is variational optical flow, where the pixels of one image are matched to the pixels of the second image by minimizing an energy functional. In the standard formulation of variational optical flow, the estimated motion vector field depends on the reference image and is asymmetric. However, in most application the solution should be independent of the reference image. Only few symmetrical formulations of the optical flow has been proposed in the literature, where the solution is constraint to be symmetric using a combination of the flow in both directions. We propose a new symmetric variational formulation of the optical flow problem, where the flow is naturally symmetric. Results on the Yosemite sequence show an improved accuracy of our symmetric flow with respect to standard optical flow algorithm.
机译:用于从两个图像恢复运动分析或对其进行配准的主要技术之一是可变光流,其中,通过使能量函数最小化,一个图像的像素与第二个图像的像素匹配。在变化光流的标准公式中,估计的运动矢量场取决于参考图像,并且是不对称的。但是,在大多数应用中,解决方案应独立于参考图像。在文献中仅提出了光流的几种对称公式,其中使用两个方向的流组合将解决方案约束为对称的。我们提出了光流问题的一种新的对称变分形式,其中流是自然对称的。优胜美地序列的结果表明,相对于标准光流算法,对称流的精度有所提高。

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