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Computational Tool for Analysis of Strains Based on Optical Flow Approach

机译:基于光流法的菌株分析计算工具

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At present, there is an increase in the quantity of computer vision method applications in the industry, robotics, in systems of virtual and augmented reality, geoinformation systems and so on. This leads to the need for the creation and development of efficient methods and algorithms for solving the problems of computer vision. In the paper, we present an approach to solve the problem of the finding of displacement vectors in the two consecutive video frames of the strain test process video. To analyse video we use the optical flow approach and propose improvements to feature extraction method of establishing of robust point correspondences between pair of key points in video frames.
机译:目前,工业,机器人,虚拟和增强现实,地理信息系统等系统中的计算机视觉方法应用量增加了。这导致需要创建和开发有效的方法和算法,以解决计算机视觉问题。在本文中,我们提出了一种解决应变测试过程视频的两个连续视频帧中位移矢量的问题的方法。为了分析视频,我们使用光学流法,并提出改进来建立视频帧中的关键点之间建立鲁棒点对应的特征提取方法。

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