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Active stereo vision system with a mechanical projector

机译:具有机械投影仪的活跃立体声视觉系统

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Three-dimensional digital image correlation (3D D1C), which combines binocular stereo vision and digital image cross-correlation matching technology, can be used to restore the three-dimensional and deformation information of the object under test. 3D DIC can be accomplished by matching the subset in the left(right) image with that in the right(left). The size of the matching window is found to be critical to the measurement accuracy. Nevertheless, when the subset is small, the measurement accuracy and resolution are high but very' sensitive to noise. In contrast, for large subset the measurement accuracy and resolution are lower, while the measurement is more robust to noise. To combine the advantages of high precision and robustness, the Spatio-temporal cross-correlation method is proposed in this paper. A set of speckle patterns are projected onto the objects under test. Instead of the way constructing subsets from spatial neighbor points, the way used in conventional DIC, both spatial and temporal neighbor points are utilized to construct subsets with rich information and strong characteristics. To implement the proposed scheme, we use a mechanical galvanometer to realize the projection of sequential speckle patterns and construct a stereo vision system to realize the three-dimensional reconstruction. The sub-pixel matching algorithm is used to improve the accuracy of stereo matching and 3D reconstruction. Simulations and experiments are carried out to verify the feasibility and success of the proposed scheme and system.
机译:结合双目立体视觉和数字图像互相关匹配技术的三维数字图像相关(3D D1C)可用于恢复被测物体的三维和变形信息。 3D DIC可以通过匹配左(右侧)图像中的子集(左)来实现。发现匹配窗口的大小对测量精度至关重要。然而,当子集很小时,测量精度和分辨率高但非常“对噪声非常敏感。相比之下,对于大的子集,测量精度和分辨率较低,而测量更稳健地噪声。为了结合高精度和稳健性的优点,本文提出了时空互相关方法。将一组散斑图案投影到正在测试的物体上。代替从空间邻点构建子集的方式,传统DIC中使用的方式,包括空间和时间邻点,用于构建具有丰富信息和强特性的子集。为了实现所提出的方案,我们使用机械流动仪来实现序贯散斑图案的投影,并构建立体声视觉系统,实现三维重建。子像素匹配算法用于提高立体声匹配和三维重建的准确性。进行仿真和实验,以验证所提出的方案和系统的可行性和成功。

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