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Hybrid 3D Shape Measurement Using the MEMS Scanning Micromirror

机译:使用MEMS扫描微镜进行混合3D形状测量

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摘要

A surface with large reflection variations represents one of the biggest challenges for optical 3D shape measurement. In this work, we propose an alternative hybrid 3D shape measurement approach, which combines the high accuracy of fringe projection profilometry (FPP) with the robustness of laser stripe scanning (LSS). To integrate these two technologies into one system, first, we developed a biaxial Microelectromechanical Systems (MEMS) scanning micromirror projection system. In this system, a shaped laser beam serves as a light source. The MEMS micromirror projects the laser beam onto the object surface. Different patterns are produced by controlling the laser source and micromirror jointly. Second, a quality wised algorithm is delivered to develop a hybrid measurement scheme. FPP is applied to obtain the main 3D information. Then, LSS helps to reconstruct the missing depth guided by the quality map. After this, the data fusion algorithm is used to merge and output complete measurement results. Finally, our experiments show significant improvement in the accuracy and robustness of measuring a surface with large reflection variations. In the experimental instance, the accuracy of the proposed method is improved by 0.0278 mm and the integrity is improved by 83.55%.
机译:反射变化较大的表面是光学3D形状测量的最大挑战之一。在这项工作中,我们提出了一种替代性的混合3D形状测量方法,该方法将条纹投影轮廓测量(FPP)的高精度与激光条纹扫描(LSS)的鲁棒性相结合。为了将这两种技术集成到一个系统中,首先,我们开发了一种双轴微机电系统(MEMS)扫描微镜投影系统。在该系统中,成形的激光束用作光源。 MEMS微镜将激光束投射到物体表面。通过共同控制激光源和微镜产生不同的图案。其次,交付了一种有质量意识的算法来开发混合测量方案。 FPP用于获取主要3D信息。然后,LSS有助于重建质量图指导下的缺失深度。之后,数据融合算法用于合并和输出完整的测量结果。最后,我们的实验表明,在测量反射率较大的表面时,其准确性和鲁棒性得到了显着提高。在实验实例中,该方法的精度提高了0.0278 mm,完整性提高了83.55%。

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