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The study for particle image velocimetry system based on binocular vision

机译:基于双目视觉的粒子图像测速系统研究

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摘要

In this paper, a new matching model is integrated into standard techniques of three-dimensional (3D) particle image velocimetry (PIV) based on the binocular vision. A 3D space is first segmented and aligned to 2D planes. Then the 2D PIV method or the particle tracking velocimetry (PTV) method is applied to match particles within different interrogation windows. Using the proposed algorithm, problems on spatial stereo matching and information representation can be solved. At last, the algorithm is applied to the real and synthetic particle images, and the results are analyzed. These experiments demonstrate that the proposed approach is effective and practical.
机译:在本文中,将新的匹配模型集成到基于双目视觉的三维(3D)粒子图像测速(PIV)的标准技术中。首先将3D空间分割并与2D平面对齐。然后,采用2D PIV方法或粒子跟踪测速(PTV)方法来匹配不同询问窗口内的粒子。使用该算法可以解决空间立体匹配和信息表示的问题。最后,将该算法应用于实,合成粒子图像,并对结果进行了分析。这些实验证明了所提出的方法是有效和实用的。

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