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Particle Matching Algorithm for 3D-PIV based on Delaunay Triangulation

机译:基于Delaunay三角测量的3D-PIV粒子匹配算法

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摘要

In this paper, a new particle matching algorithm for 3D-PIV is proposed based on Delaunay triangulation and projective invariants. In the proposed algorithm, fuzzy similarity is first computed for the triangulation in the matching particle images and rough matching is executed. Then, error matching in the results of rough matching is removed based on projective invariants. Experiment results further demonstrate the effectiveness of the proposed method.
机译:本文提出了一种基于Delaunay三角测量和投影不变的3D-PIV粒子匹配算法。在所提出的算法中,首先针对匹配粒子图像中的三角测量计算模糊相似性,并且执行粗匹配。然后,基于投影不变量删除粗匹配结果中的错误匹配。实验结果进一步证明了所提出的方法的有效性。

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