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《Journal of Tsinghua University(Science and Technology)》 2004-04
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3-D reconstruction and visual inspection of industrial sheetmetal parts with image sequence

ZHANG Yongjun, ZHANG Zuxun, ZHANG Jianqing(School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)  
A three-dimensional reconstruction and visual inspection method was developed for industrial sheetmetal parts using a non-metric CCD camera. The initial values of the camera's internal and external parameters were decomposed by a 2-D direct linear transformation of several images. The non-metric CCD camera was precisely calibrated using bundle adjustment with a planar control grid. Hybrid point-line bundle adjustment with precise points and lines from images extracted by a line segment least squares template matching is used to accurately reconstruct the industrial part shapes. The reconstruction results can be used to automatically or interactively inspect production accuracy. The visual inspection software uses inexpensive hardware and runs automatically. The relative precision is better than 1/8 000 with image sequences of several parts. The approach is effective for automatic 3-D visual inspection of industrial parts which are mainly described by points and line segments such as sheet metal parts.
【Fund】: 国家自然科学基金资助项目(40301041)
【CateGory Index】: TP391.72
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