• DocumentCode
    1747509
  • Title

    Machine-vision-based estimation of pose and size parameters from a generic workpiece description

  • Author

    Keçeci, F. ; Nagel, H.H.

  • Author_Institution
    Inst. fur Algorithmen und Kognitive Syst., Karlsruhe Univ., Germany
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2159
  • Abstract
    Automatic disassembly of used products can not assume that CAD databases will provide precise knowledge about the pose, size, and shape of components to be manipulated because some of the components may have been repaired, repositioned, or replaced, thereby possibly invalidating the original construction data. In principle, the missing information can be provided by machine vision which often becomes more robust if it can rely on some knowledge about the workpiece to be manipulated, for example, in the form of generic descriptions. Use of the latter necessitates, however, that not only an unknown pose, but in addition unknown size and shape parameters of a component have to be determined. A solution to the automatic determination of location, orientation, size, and shape of truncated cones is demonstrated by the example of shock absorber lids in the engine compartment of a used car.
  • Keywords
    automobiles; computer vision; parameter estimation; process control; recycling; car components; disassembly; generic workpiece description; machine vision; pose estimation; size estimation; Assembly systems; Cameras; Engines; Image sequences; Machine vision; Reservoirs; Robot kinematics; Robot vision systems; Shape; Shock absorbers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-6576-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2001.932943
  • Filename
    932943