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An efficient approach for stereo matching of planar objects in stereo-digital image correlation

机译:立体数字图像相关中平面对象立体声匹配的有效方法

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摘要

In many standard mechanical tests and in all two-dimensional digital image correlation (2D-DIC) applications, the surfaces of specimens to be measured are planar. For the special case of planar surfaces, in this paper an efficient approach for stereo matching was proposed to further improve the computation efficiency of stereo-DIC. The proposed stereo matching method utilizes the characteristic of planar objects that the projection transformation functions between left and right images are the same for all matched subsets and can be expressed by eight parameters. In each pair of images, four discrete points were matched to calculate the projection transformation matrix, and then the stereo matching of all other points could be accomplished based on the calculated projection transformation matrix in an easy and efficient way. Both simulations and experimental results demonstrated that the proposed method is feasible and effective and the computational speed is about 20 times faster than that of traditional method. Based on the proposed method, real-time stereo-DIC with a higher frame rate and more points should be achieved.
机译:在许多标准机械测试和所有二维数字图像相关性(2D-DIC)应用中,要测量的样品表面是平面的。对于平面表面的特殊情况,本文提出了一种有效的立体匹配方法,以进一步提高立体DIC的计算效率。所提出的立体匹配方法利用平面对象的特性,即左和右图像之间的投影变换功能对于所有匹配的子集是相同的,并且可以由八个参数表示。在每对图像中,匹配四个离散点以计算投影变换矩阵,然后可以以简单有效的方式基于计算出的投影变换矩阵基于计算出的投影变换矩阵来完成所有其他点的立体声匹配。模拟和实验结果都表明,所提出的方法是可行的,有效的,并且计算速度比传统方法的计算速度快20倍。基于所提出的方法,应达到具有更高帧率和更多要点的实时立体声DIC。

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