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An Efficient Algorithm for Estimating the Inverse Optical Flow

机译:一种估计逆光流的有效算法

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The aim of this work is to propose a method for computing the inverse optical flow between two frames in a sequence. We assume that the image registration has already been obtained in one direction and we need to estimate the mapping in the opposite direction. The direct and inverse mappings can easily be related through a simple warping formula, which allows us to propose a fast and efficient algorithm. Nevertheless, it is not possible to estimate the inverse function in the whole domain due to the presence of occlusions and disocclusions. Occlusions occur because some objects move to the same position in the next frame. On the other hand, disocclusions are the opposite situation: no correspondences can be established because there is no object moving to those positions. In this case, there is a lack of information and the best we can do is to guess their values from the surrounding values. In the experimental results, we use standard synthetic sequences to study the performance of the proposed method, and show that it yields very accurate solutions.
机译:这项工作的目的是提出一种用于在序列中计算两个帧之间的逆光流的方法。我们假设已经在一个方向上获得了图像配准,并且我们需要估计相反方向的映射。直接和反映射可以通过简单的翘曲公式轻松相关,这使我们能够提出快速高效的算法。然而,由于存在闭塞和脱饰,不可能估计整个域中的逆函数。发生闭塞,因为某些对象在下一个帧中移动到相同的位置。另一方面,脱锁是相反的情况:没有可以建立对应关系,因为没有对这些位置移动的物体。在这种情况下,缺乏信息,我们可以做的最好的是猜测它们的周围值的值。在实验结果中,我们使用标准的合成序列来研究所提出的方法的性能,并表明它产生了非常准确的解决方案。

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