• DocumentCode
    3191586
  • Title

    Automatic Recalibration of the Relative Pose in a Structured Light System

  • Author

    Li, Y.F. ; Zhang, B.

  • Author_Institution
    Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong
  • fYear
    2006
  • fDate
    9-15 Oct. 2006
  • Firstpage
    5702
  • Lastpage
    5707
  • Abstract
    In this paper, we present a new method for automatic recalibration of the relative pose in a structured light system by a single image of planar surface. Assuming that the intrinsic parameters of the camera and the projector are known from initial calibration, we show that their relative orientation and position can be determined automatically from four projection correspondences in an image and a projection plane. In this method, two steps are taken to solve the pose problem. The advantages are that not only the analytic solutions can be obtained easily but also an over constraint system is constructed in each step to increase the robustness. Some computer simulations and real data experiments have been carried out to validate our method
  • Keywords
    calibration; image reconstruction; image sensors; pose estimation; robot vision; automatic recalibration; constraint system; orientation projection; position projection; relative pose; structured light system; Calibration; Cameras; Image reconstruction; Layout; Machine vision; Mobile robots; Navigation; Robot vision systems; Robustness; Transmission line matrix methods; Eigenvalue Decomposition; Plane-Based Homography; Relative Pose; Structured Light System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0258-1
  • Electronic_ISBN
    1-4244-0259-X
  • Type

    conf

  • DOI
    10.1109/IROS.2006.282373
  • Filename
    4059341