• DocumentCode
    2756634
  • Title

    Research on camera self-calibration of highprecision in binocular vision

  • Author

    Jiang, Zetao ; Jia, Lianggang ; Guo, Shutao

  • Author_Institution
    Sch. of Inf. Eng., Nanchang Hangkong Univ., Nanchang, China
  • fYear
    2011
  • fDate
    12-14 Oct. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a self-calibration method of binocular vision; First, to match the point coordinates to be normalized to calculate fundamental matrix. Then solving the Kruppa equation by decomposing the fundamental matrix, getting the camera parameters. By using the principle of the same name point lights Intersect at one point to get external camera parameters that dual camera relative position and attitude; Finally, by introducing the principles of camera non-linear distortion of regional adjustment to improve the accuracy of calibration. By comparison between simulation and experimental and real analysis, the result shows that the method is a relatively accurate and practical self-calibration binocular method.
  • Keywords
    calibration; computer vision; image sequences; matrix algebra; Kruppa equation; binocular image sequences; binocular vision; camera nonlinear distortion; camera self-calibration; dual camera relative position; external camera parameters; fundamental matrix; point coordinates; relative attitude; Accuracy; Calibration; Cameras; Equations; Mathematical model; Noise; Kruppa equation; binocular calibration; fundamental matrix; non-linear distortion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
  • Conference_Location
    Baku
  • Print_ISBN
    978-1-61284-831-0
  • Type

    conf

  • DOI
    10.1109/ICAICT.2011.6111011
  • Filename
    6111011