教授 博士生导师 硕士生导师
主要任职: 机械工程学院院长、党委副书记
性别: 男
毕业院校: 大连理工大学
学位: 博士
所在单位: 机械工程学院
学科: 机械电子工程. 测试计量技术及仪器. 精密仪器及机械
办公地点: 辽宁省大连市大连理工大学机械工程学院知方楼5027
联系方式: 辽宁省大连市大连理工大学机械工程学院,116023
电子邮箱: lw2007@dlut.edu.cn
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论文类型: 会议论文
发表时间: 2017-05-19
收录刊物: Scopus、EI、CPCI-S
卷号: 10420
关键字: Vision system; calibration; feature extraction; large-size measurement; vision measurement; aviation part; large field of view; binocular vision
摘要: An accurate measurement of large aviation part plays a key role in the assembly of aircraft. However, due to the limitation of spatial size, a calibration with large field of view and an accurate surface measurement of large part is hard to achieve. In this paper, an improved measurement method with spatial constraint calibration method and feature compression extraction method is proposed. Firstly, based on the proposed spatial constraint calibration method, the vision system is conveniently and precisely calibrated by using the designed SBA and SLT. Images of scanning laser stripes are captured by the calibrated cameras, simultaneously. Then the proposed feature compression extraction method is adopted to accurately extract centers of laser stripes. Finally, based on the binocular vision principle, the surface of part is reconstructed. The accuracy of proposed calibration method is verified in the lab. The results of the measurement of a standard part show the validity and precision of the proposed method.