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基于双目视觉的线性激光扫描测量方法跟踪

Linear Laser Scanning Measurement Method Tracking by a Binocular Vision.

作者信息

Wu Chunyan, Yang Li, Luo Zai, Jiang Wensong

机构信息

College of Metrology & Measurement Engineering, China Jiliang University, Hangzhou 310018, China.

College of Information Engineering, China Jiliang University, Hangzhou 310018, China.

出版信息

Sensors (Basel). 2022 May 7;22(9):3572. doi: 10.3390/s22093572.

Abstract

The 3D scanning of a freeform structure relies on the laser probe and the localization system. The localization system, determining the effect of the point cloud reconstruction, will generate positioning errors when the laser probe works in complex paths with a fast speed. To reduce the errors, in this paper, a linear laser scanning measurement method is proposed based on binocular vision calibration. A simple and effective eight-point positioning marker attached to the scanner is proposed to complete the positioning and tracking procedure. Based on this, the method of marked point detection based on image moment and the principle of global coordinate system calibration are introduced in detail. According to the invariance principle of space distance, the corresponding points matching method between different coordinate systems is designed. The experimental results show that the binocular vision system can complete localization under different light intensities and complex environments, and that the repeated translation error of the binocular vision system is less than 0.22 mm, while the rotation error is less than 0.15°. The repeated error of the measurement system is less than 0.36 mm, which can meet the requirements of the 3D shape measurement of the complex workpiece.

摘要

自由形态结构的三维扫描依赖于激光探头和定位系统。定位系统决定点云重建的效果,当激光探头在复杂路径中快速工作时会产生定位误差。为了减少误差,本文提出了一种基于双目视觉校准的线性激光扫描测量方法。提出了一种附着在扫描仪上的简单有效的八点定位标记,以完成定位和跟踪过程。在此基础上,详细介绍了基于图像矩的标记点检测方法和全局坐标系校准原理。根据空间距离不变性原理,设计了不同坐标系之间的对应点匹配方法。实验结果表明,双目视觉系统能够在不同光照强度和复杂环境下完成定位,双目视觉系统的重复平移误差小于0.22mm,旋转误差小于0.15°。测量系统的重复误差小于0.36mm,能够满足复杂工件三维形状测量的要求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2889/9100134/3aa4728c80d0/sensors-22-03572-g001.jpg

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