• DocumentCode
    977427
  • Title

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

  • Author

    Kemmotsu, Keiichi ; Kanade, Takeo

  • Author_Institution
    Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    11
  • Issue
    5
  • fYear
    1995
  • fDate
    10/1/1995 12:00:00 AM
  • Firstpage
    741
  • Lastpage
    747
  • Abstract
    The pose (position and orientation) of a polyhedral object can be determined by using a set of simple light-stripe range sensors. Data from these sensors, however, inherently contains errors which result in pose uncertainty. Therefore, in addition to calculating the pose itself, it is often desirable to estimate how certain the pose determination is. This paper presents a method for estimating the uncertainty in determining the pose of an arbitrarily positioned object with three light-stripe range finders. We analyze the perturbation of a least squares fit of sensed 3D segments to object faces, and obtain a relationship between the sensing error and the object pose error. Experiments demonstrate that the method provides the estimate of accuracy in pose determination
  • Keywords
    computational geometry; computer vision; covariance matrices; curve fitting; estimation theory; least squares approximations; object recognition; stereo image processing; covariance matrix; least squares fit; light-stripe range measurements; object pose determination; object pose error; orientation; perturbation; polyhedral object; pose uncertainty estimation; Computer errors; Computer science; Covariance matrix; Image recognition; Layout; Least squares methods; Object recognition; Position measurement; Solid modeling; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.466610
  • Filename
    466610