View planning for automated three-dimensional object reconstruction and inspection

  • Authors:

  • William R. Scott;Gerhard Roth;Jean-François Rivest

  • Affiliations:

  • National Research Council of Canada, Ottawa, Canada;National Research Council of Canada, Ottawa, Canada;University of Ottawa, Ottawa, Canada

  • Venue:
  • ACM Computing Surveys (CSUR)
  • Year:
  • 2003

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Abstract

Laser scanning range sensors are widely used for high-precision, high-density three-dimensional (3D) reconstruction and inspection of the surface of physical objects. The process typically involves planning a set of views, physically altering the relative object-sensor pose, taking scans, registering the acquired geometric data in a common coordinate frame of reference, and finally integrating range images into a nonredundant model. Efficiencies could be achieved by automating or semiautomating this process. While challenges remain, there are adequate solutions to semiautomate the scan-register-integrate tasks. On the other hand, view planning remains an open problem---that is, the task of finding a suitably small set of sensor poses and configurations for specified reconstruction or inspection goals. This paper surveys and compares view planning techniques for automated 3D object reconstruction and inspection by means of active, triangulation-based range sensors.