Automatic inspection of industrial sheetmetal parts with single non-metric CCD camera

  • Authors:

  • Yongjun Zhang

  • Affiliations:

  • School of Remote Sensing and Information Engineering, Wuhan University, China

  • Venue:
  • ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
  • Year:
  • 2005

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Abstract

A novel approach for three-dimensional reconstruction and inspection of industrial parts with image sequence acquired by single non-metric CCD camera is proposed. The purpose of the approach is to reconstruct and thus inspect the producing imprecision (of deformation) of industrial sheetmetal parts. Planar control grid, non-metric image sequence and CAD-designed data are used as information sources. Principles of least squares template matching to extract lines and points from the imagery are presented. Hybrid point-line photogrammetry is adopted to obtain the accurate wire frame model. Circles, connected arcs and lines on the part are reconstructed with direct object space solution. The reconstructed CAD model can be used for inspection or quality control. Experimental results are very satisfying.