• DocumentCode
    414040
  • Title

    Camera pose estimation from less than eight points in visual servoing

  • Author

    Chesi, Graziano ; Hashimoto, Koichi

  • Author_Institution
    Dept. of Information Phys. & Comput., Tokyo Univ., Japan
  • Volume
    1
  • fYear
    2004
  • fDate
    26 April-1 May 2004
  • Firstpage
    733
  • Abstract
    The problem of estimating the camera pose in eye-in-hand visual servoing is considered for the case in which the available point correspondences are less than eight. Two strategies based on the properties of the essential matrix are hence described, which mainly consist of the computation of the roots of a one-variable polynomial in the seven points case and the minimization of a two-variables polynomial through a gradient algorithm in the six points case.
  • Keywords
    gradient methods; image motion analysis; matrix algebra; minimisation; polynomials; camera pose estimation; eye-in-hand visual servoing; gradient algorithm; one-variable polynomial; two-variables polynomial minimization; Cameras; Error correction; Feedback; Jacobian matrices; Minimization methods; Physics computing; Polynomials; Robot vision systems; Symmetric matrices; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-8232-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2004.1307236
  • Filename
    1307236