• DocumentCode
    1861315
  • Title

    Uncertainty in object pose determination with three light-stripe range measurements

  • Author

    Kemmotsu, Keiichi ; Kanade, Takeo

  • Author_Institution
    Mitsubishi Heavy Ind. Ltd., Yokohama, Japan
  • fYear
    1993
  • fDate
    2-6 May 1993
  • Firstpage
    128
  • Abstract
    A method for estimating the uncertainty in determining the pose of an object when using several light-stripe range finders is presented. Three-dimensional line segments obtained by the range finders are matched to model faces based on an interpretation tree search. The object pose is obtained by a least squares fit of the segment-face pairings. It is shown that the uncertainty in the position of the object can be estimated using the covariance matrix of the endpoint positions of the sensed line segments. Experiments with three light-stripe range finders show that this method makes it possible to estimate how accurately the pose of an object can be determined
  • Keywords
    distance measurement; image processing; least squares approximations; search problems; 3D line segments; covariance matrix; interpretation tree search; least squares fit; light-stripe range finders; light-stripe range measurements; model faces; object pose determination; segment-face pairings; structured light; uncertainty estimation; Application software; Computer errors; Computer science; Computer vision; Covariance matrix; Inspection; Layout; Least squares methods; Object recognition; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-8186-3450-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.1993.291860
  • Filename
    291860