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A novel spatial-temporal optical flow method for estimating the velocity fields of a fluid sequence

机译:一种估计流体序列速度场的新型时空光流方法

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摘要

In this paper, we propose a novel optical flow method to estimate the velocity fields of fluid sequences based on spatial-temporal physical principles. Our novel optical flow model mainly takes scalar field correspondence, velocity field temporal coherence and incompressibility into consideration. And the velocity field smoothness assumption is also used for better convergence. Compared with existing methods which only estimate the velocity field between a single pair of frames, our novel optical flow model can deal with the fields of all frames of the sequence simultaneously. For some frames of the sequence, the image quality is higher and more accurate velocity fields can be obtained, but for other frames, the estimated fields may be rather far from the groundtruth due to the lack of information. And our model can propagate the correspondence information from the accurate frames to neighbor frames and help the optimization converge to a better result. Also, several sophisticated optimization techniques are employed to solve our novel model efficiently and robustly.
机译:在本文中,我们提出了一种新的光流方法,根据时空物理原理估算流体序列的速度场。我们新颖的光流模型主要考虑标量场对应,速度场时间相干性和不可压缩性。速度场平滑度假设也可用于更好地收敛。与仅估计一对帧之间的速度场的现有方法相比,我们新颖的光流模型可以同时处理序列中所有帧的场。对于该序列的某些帧,图像质量更高,并且可以获得更准确的速度场,但是对于其他帧,由于缺少信息,估计的场可能离地面很远。并且我们的模型可以将对应信息从准确的帧传播到相邻帧,并帮助优化收敛到更好的结果。而且,采用了几种复杂的优化技术来有效而稳健地求解我们的新型模型。

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