Research on strain testing based on binocular stereo vision

Wenyong Lu, Y. Shi, Zhan Jin, Weijie Luo, Jing Chen, Jiajie He
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Abstract

Binocular stereo vision technology has good application prospects and practical value in industrial production, autonomous driving, quality inspection, and many other aspects, and is an important research direction in computer vision. Strain measurement based on binocular stereo vision is different from traditional strain measurement methods, and has advantages such as convenient operation, high accuracy, and global dynamic measurement. This article focuses on the strain measurement technology of binocular stereo vision, and studies the camera calibration, stereo matching, 3D reconstruction, and SGBM algorithm in stereo matching of binocular cameras. By constructing a binocular camera strain testing system, the distance between the corresponding point AB before and after the strain of the target object is measured, thereby achieving the measurement of the strain of the target object. The strain of the target object obtained from the experimental test results is 47.53%, the theoretical tensile strain is 48.54%, and the relative error is controlled within ± 2%.
基于双目立体视觉的应变测试研究
双目立体视觉技术在工业生产、自动驾驶、质量检测等诸多方面具有良好的应用前景和实用价值,是计算机视觉领域的一个重要研究方向。基于双目立体视觉的应变测量不同于传统的应变测量方法,具有操作方便、精度高、全局动态测量等优点。本文以双目立体视觉的应变测量技术为重点,研究了双目摄像机立体匹配中的摄像机标定、立体匹配、三维重建和SGBM算法。通过搭建双目相机应变测试系统,测量目标物体应变前后对应点AB之间的距离,从而实现对目标物体应变的测量。实验测试结果得到的目标物体应变为47.53%,理论拉伸应变为48.54%,相对误差控制在±2%以内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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