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Application of the Optical Flow Method to Velocity Determination in Hydraulic Structure Models

机译:光流法在水工模型速度确定中的应用

摘要

Optical flow estimation is used in Computer Vision for detection of moving obstacles in a sequence of images. The optical flow (OF) is defined as the displacement of brightness patterns between two sequent images. In this paper, this method is applied to high-speed images taken in hydraulic structure models for determination of velocity fields. Water is seeded with tracer particles in two cases and is self-aerated in a third case. It will be shown that the OF method gives valuable results which compare well to other velocity measurements, e.g. by Particle Image Velocimetry. The OF method is generally more time-consuming compared to PIV, but an advantage is given by the density of information when using a so-called global method as velocity information is obtained at every pixel location.
机译:光流估计在计算机视觉中用于检测图像序列中的移动障碍物。光流(OF)定义为两个后续图像之间亮度模式的位移。本文将这种方法应用于在水工结构模型中获取的高速图像,以确定速度场。在两种情况下,用示踪剂颗粒播种水,在第三种情况下,用自充气。将会显示出OF方法给出了有价值的结果,可以与其他速度测量结果很好地比较,例如通过粒子图像测速。与PIV相比,OF方法通常更为耗时,但是当使用所谓的全局方法时,由于在每个像素位置都可以获得速度信息,因此信息的密度会带来优势。

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