• DocumentCode
    556335
  • Title

    A Linear Camera Self-calibration Approach from Four Points

  • Author

    Huimin Cai ; Wei Zhu ; Kejie Li ; Meilian Liu

  • Author_Institution
    Sch. of Mechatronical Eng., Beijing Inst. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    28-30 Oct. 2011
  • Firstpage
    202
  • Lastpage
    205
  • Abstract
    In this paper a new approach for obtaining the intrinsic camera parameters based on circular points is proposed. This method just requires the camera to observe a planar pattern with square at a few different unknown orientations (at least three). With the image of four corner points of square we can obtain the image of circular points (ICPs) linearly. Without conic fitting, pattern matching and metric information of square, camera intrinsic parameters can be obtained automatically. This method is particularly useful for those people who want to get camera intrinsic parameters fast with relative high precision. Simulation and real planar pattern experiment show that the new approach is convenient, accurate and robust.
  • Keywords
    calibration; cameras; ICP; circular points; conic fitting; intrinsic camera parameters; linear camera self-calibration approach; metric information; pattern matching; Accuracy; Calibration; Cameras; Equations; Mathematical model; Noise level; Three dimensional displays; camera calibrationt; circular points; intrinsic parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-1085-8
  • Type

    conf

  • DOI
    10.1109/ISCID.2011.59
  • Filename
    6079671