• DocumentCode
    1748658
  • Title

    Visual servoing invariant to changes in camera intrinsic parameters

  • Author

    Malis, Ezio

  • Author_Institution
    INRIA, Sophia Antipolis, France
  • Volume
    1
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    704
  • Abstract
    This paper presents a new visual servoing scheme which is invariant to changes in camera intrinsic parameters. Current visual servoing techniques are based on the learning of a reference image with the same camera used during the servoing. The scheme proposed in the paper differs from previous techniques in that it is camera independent. With the new scheme it is possible to position a camera (with eventually varying intrinsic parameters), with respect to a non-planar object, given a “reference image” taken with a completely different camera
  • Keywords
    image recognition; learning (artificial intelligence); robot vision; camera intrinsic parameters; learning; reference image; visual servoing invariant; Cameras; Computer errors; Convergence; Feature extraction; Machine vision; Manipulators; Robot sensing systems; Robot vision systems; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2001. ICCV 2001. Proceedings. Eighth IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7695-1143-0
  • Type

    conf

  • DOI
    10.1109/ICCV.2001.937592
  • Filename
    937592