Robot-mounted 500-fps 3-D shape measurement using motion-compensated coded structured light method

Jun Chen, Yongjiu Liu, Qingyi Gu, T. Aoyama, T. Takaki, I. Ishii
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引用次数: 2

Abstract

A high-frame-rate (HFR) structured light vision is developed for observing moving three-dimensional (3-D) scenes; it is mountable on the end of a robot manipulator for 3-D shape inspection. Our system can simultaneously obtain depth images of 512×512 pixels at 500 fps by implementing a motion-compensated coded structured light method on an HFR camera-projector platform; the 3-D computation is accelerated using the parallel processing on a GPU board. This method can remarkably reduce the synchronization errors in the structured-light-based measurement, which are encountered in the projection of multiple light patterns with different timings; such synchronization errors become larger as the ego-motion of a manipulator becomes larger. We demonstrate the performance of our system by showing several 3-D shape measurement results when the 3-D module is mounted on a fast-moving 6-DOF manipulator as a sensing head.
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采用运动补偿编码结构光方法的机器人安装500 fps三维形状测量
开发了一种用于观察运动三维场景的高帧率(HFR)结构光视觉;它安装在机器人机械手的末端,用于三维形状检测。该系统通过在HFR摄像机-投影仪平台上实现运动补偿编码结构光方法,以500 fps的速度同时获得512×512像素的深度图像;利用GPU板上的并行处理加速三维计算。该方法可以显著降低基于结构光的测量中不同时序的多光模式投影所产生的同步误差;随着机械手自运动的增大,同步误差也随之增大。当三维模块作为传感头安装在快速移动的六自由度机械臂上时,我们通过展示几个三维形状测量结果来展示我们系统的性能。
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