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Joint TV-L1 Optical Flow and Occlusion Estimation

机译:TV-L1联合光流和遮挡估计

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This document describes an implementation of the energy functional minimization proposed by Ballester, Garrido, Lazcano and Caselles for joint optical flow and occlusion estimation. The method build up from the ideas behind the TV-L1 approach introduced by Zach, Pock and Bischof in 2007 but incorporating information that allows to detect occlusions. This information is based on the divergence of the flow and the proposed energy favors the location of occlusions on regions where this divergence is negative. The implemented variational method uses three consecutive frames. The energy functional is composed of regularization terms using the total variation, a data term using the L1 norm, and a term dealing with the occlusions. In the present implementation, we solve the stationary system of partial differential equations arising from the dual minimization problem associated with the TV operator by a variation of the box relaxation numerical scheme proposed by Garamendi, Gaspar, Malpica and Schiavi. This makes the overall algorithm faster than previous implementations based on a gradient descent method.
机译:该文件描述了Ballester,Garrido,Lazcano和Caselles提出的用于联合光流和遮挡估计的能量函数最小化的实现。该方法基于Zach,Pock和Bischof在2007年提出的TV-L1方法背后的思想,但结合了允许检测遮挡的信息。该信息基于流动的发散,并且所提议的能量有利于该发散为负的区域上的阻塞位置。实施的变分方法使用三个连续的帧。能量泛函由使用总变化的正则项,使用L1范数的数据项以及处理遮挡的项组成。在本实现中,我们通过改变Garamendi,Gaspar,Malpica和Schiavi提出的盒弛豫数值格式,解决了由与电视运营商相关的对偶最小化问题引起的偏微分方程的平稳系统。这使整个算法比以前基于梯度下降法的实现更快。

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