View planning for occluded region with active imaging system

Hyunki Lee, Hyungsuck Cho, D. Hong
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Abstract

Nowadays, a number of 3D shape measurement methods have been developed such as stereo vision, laser structured light, and Phase Measuring Profilometry (PMP). They have many problems such as correspondence problem, 2π-ambiguity and occlusion problem. Among them, occlusion problem is common problem for 3D shape measurement and well known as difficult to solve. To solve this problem, in our previous research, active imaging system is introduced, which can change the viewing angle without changing of field-of-view (FOV), and can do the FOV with maintaining the viewing angle. And to decide the viewing direction and position, view planning algorithm is developed. The performance of our system is checked by simulation and a series of real experiments.
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主动成像系统遮挡区域的视野规划
目前,立体视觉、激光结构光、相位测量轮廓术等三维形状测量方法已经发展起来。它们存在许多问题,如对应问题、2π歧义和遮挡问题。其中遮挡问题是三维形状测量的常见问题,也是众所周知的难以解决的问题。为了解决这一问题,我们在之前的研究中引入了主动成像系统,它可以在不改变视场的情况下改变视角,也可以在保持视角的情况下改变视场。为了确定视觉方向和位置,开发了视觉规划算法。通过仿真和一系列实际实验验证了系统的性能。
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