CASIA OpenIR  > 机器人视觉团队
Improved FDCM in Laser Scanning Inspection System for Workpiece Deformation
Yibin Huang; Yue Guo; Kui Yuan
2017-12
Conference Name2017 IEEE International Conference on Robotics and Biomimetics (ROBIO)
Conference Date2017年12月5日
Conference Place澳门
Abstract

Three-dimensional (3D) inspection based on machine vision is high-precision and efficient. In this paper, a laser scanning system using the triangulation measurement is designed to obtain dense point clouds of the workpiece surface, and the point clouds are projected to two-dimensional (2D) range images. Fast Directional Chamfer Matching (FDCM) is a reliable algorithm for object detection and localization, and it is improved to accelerate the time-consuming 3D registration. Although the author of FDCM greatly improved the directional chamfer matching, it remains very slow in practice. We mainly improved the line fitting process and distance transform in this algorithm, and they greatly accelerate the scanning process. Experimental results show that the scanning system with the improved algorithm can highlight the deformation of the workpiece in real time.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23368
Collection机器人视觉团队
Corresponding AuthorYibin Huang
Affiliation中国科学院自动化研究所
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Yibin Huang,Yue Guo,Kui Yuan. Improved FDCM in Laser Scanning Inspection System for Workpiece Deformation[C],2017.
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