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基于结构光立体视觉的焊缝测量
引用本文:徐德,赵晓光,涂志国,谭民.基于结构光立体视觉的焊缝测量[J].焊接学报,2004,25(5):45-48,52.
作者姓名:徐德  赵晓光  涂志国  谭民
作者单位:中国科学院,自动化研究所,复杂系统与智能科学实验室,北京,100080;中国科学院,自动化研究所,复杂系统与智能科学实验室,北京,100080;中国科学院,自动化研究所,复杂系统与智能科学实验室,北京,100080;中国科学院,自动化研究所,复杂系统与智能科学实验室,北京,100080
基金项目:国家 8 63计划项目 ( 2 0 0 2AA42 2 160 ),中国科学院自动化研究所创新基金资助项目 ( 2F0 2J0 2 )
摘    要:提出了一种基于结构光立体视觉的焊缝测量方法,并给出了一种简单的摄像机与激光器标定方法。它采用安装在机器人末端的两台摄像机和一只激光器构成测量系统,激光器发出的光束经平凸柱面镜变成光平面,在焊件上形成条纹。两台摄像机同步采集该条纹图像,结合机器人末端位姿与摄像机参数,对于条纹上的每个特征点可以获得三组空间坐标。对这三组坐标进行信息融合,可以更加精确的获得特征点的空间坐标。进行的V形焊缝测量与跟踪试验表明,该方法具有实时性好、测量精度较高、标定简单、可靠性高等特点。

关 键 词:结构光  立体视觉  视觉测量  标定  焊缝测量
文章编号:0253-360X(2004)05-45-05
收稿时间:2003/8/25 0:00:00

Automated measurement of weld seam based on structured light stereovision
XU De,ZHAO Xiao-guang,TU Zhi-guo and TAN Min.Automated measurement of weld seam based on structured light stereovision[J].Transactions of The China Welding Institution,2004,25(5):45-48,52.
Authors:XU De  ZHAO Xiao-guang  TU Zhi-guo and TAN Min
Affiliation:Laboratory of Complex Systems and Intelligence ScienceInstitute of Automation, Chinese Academy of Sciences, Beijing 100080, China,Laboratory of Complex Systems and Intelligence ScienceInstitute of Automation, Chinese Academy of Sciences, Beijing 100080, China,Laboratory of Complex Systems and Intelligence ScienceInstitute of Automation, Chinese Academy of Sciences, Beijing 100080, China and Laboratory of Complex Systems and Intelligence ScienceInstitute of Automation, Chinese Academy of Sciences, Beijing 100080, China
Abstract:A method of weld seam measurement based on structured light stereovision is proposed, which employs two charge coupled device cameras and a laser emitter fitted on the end-effector of the robot. A piano-convex cylinder lens is utilized to convert the laser beam to plane, to forms a stripe on the welding works. Two frames of stripe image are captured by the cameras synchronously. Through the position and pose of the end-effector with the parameters of the cameras and the plane, which can be obtained easily using a simple calibration method provided in this paper, three groups of position values in Cartesian space for each point in the stripe can be derived. Then the accurate three-dimension position of the edge points in the weld seam can be obtained from them by using information fusion algorithm. An experiment that V type weld seam is measured and tracked automatically is successfully conducted.
Keywords:structured light  stereovision  visual measurement  calibration  weld measurement
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