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Extraction of singular Points from Dense Motion Fields: An Analytic Approach

机译:从密集运动场中提取奇异点:一种解析方法

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In this paper we propose a new method to extract the vortices, sources, and sinks from the dense motion field preliminary estimated between two images of a fluid video. This problem is essential in meteorology for instance to identify and track depressions or convective clouds in satellite images. The knowledge of such points allows in addition a compact representation of the flow which is very useful in both experimental and theoretical fluid mechanics. The method we propose here is based on an analytic representation of the flow. This approach has the advantage of being robust, simple, fast and requires few parameters.
机译:在本文中,我们提出了一种从流体视频的两个图像之间初步估计的密集运动场中提取涡旋,源和汇的新方法。这个问题在气象学中至关重要,例如识别和跟踪卫星图像中的凹陷或对流云。这些点的知识还可以使流量的紧凑表示形式在实验和理论流体力学中都非常有用。我们在此建议的方法基于流的解析表示。这种方法的优点是健壮,简单,快速并且需要很少的参数。

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