• DocumentCode
    2789321
  • Title

    A new classic camera calibration method based on coplanar Points

  • Author

    Xiaobo, Chen ; Zhenhao, Tang ; Yinghua, Yang ; Shukai, Qin

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    4481
  • Lastpage
    4485
  • Abstract
    As a necessary step of 3D reconstruction, and a premise and base for computer vision obtaining the spatial information of 3D objects, research on the camera calibration methods has great important significance of theoretical study and practical value. This paper introduces a new simply, flexible and more accurate classic camera calibration method based on coplanar points. This method only requires a coplanar target and without camera motion. We use step-by-step calibration thinking, and first calibrate the principal point, and then neglect the lens distortion and linearly solve all the parameters, when high accuracy is required, we can include Weng´s lens distortion model and solve the distortion coefficient by nonlinear algorithm. The experiment of images proves the proposed method is accurate and effective.
  • Keywords
    calibration; cameras; computer vision; image reconstruction; 3D objects; 3D reconstruction; classic camera calibration; computer vision; coplanar points; distortion coefficient; lens distortion model; nonlinear algorithm; spatial information; Calibration; Cameras; Computer vision; Image reconstruction; Lenses; Nonlinear distortion; Nonlinear optics; Optical arrays; Optical distortion; Optimization methods; 3D reconstruction; Camera calibration; Computer vision; Coplanar points; Lens distortion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192251
  • Filename
    5192251