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Detecting and reconstructing curve welding seam using structured light stereovision

Wang Xiu-ping, Fan Ying, Ziteng Liu, Bai Ruilin

发表年份
2015
引用次数
2

摘要

This paper mainly studies the approach of detecting and reconstructing curve butt welding seam based on a line structured light stereovision sensor. The approach consists of three steps: firstly, extracting the laser stripe center line from welding seam image, and determining the position of welding seam point; then, calculating its three-dimensional coordinates according to the calibration of vision sensor and hand eye matrix; and finally, reconstructing the complete curve welding seam in three-dimensional space by a group of welding seam points. Experimental results demonstrate the effectiveness of the proposed approach, which has great application value in robot automatic welding area.

关键词

WeldingComputer visionArtificial intelligenceRobot weldingButt weldingLine (geometry)Position (finance)Computer sciencePoint (geometry)Structured light

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