View Planning for Automated 3D Object Reconstruction Inspection

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Journal titleACM Computing Surveys
Subjectalgorithms; design; measurement; performance; view planning; range images; object reconstruction; object inspection; conception; mesure; performance; planification de vues; images de distance; reconstruction d'objets; inspection d'objets
AbstractLaser 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.
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AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number45866
NPARC number8913451
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Record identifierc9a6149f-27d0-4269-8122-80dd6104c0a1
Record created2009-04-22
Record modified2016-05-09
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