• DocumentCode
    2670517
  • Title

    Derivation of camera parameters based on geometric meaning

  • Author

    Zhu, Feng ; Zhou, Jing ; Hao, Yingming ; Dong, Zaili

  • Author_Institution
    Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    468
  • Lastpage
    471
  • Abstract
    The process of solving camera intrinsic and extrinsic parameters has been presented by using geometric techniques. In contrast with traditional method, which is a pure algebra process, the geometric technique accomplishes the camera parameters more intuitively and easily. If the perspective projection matrix is given, according to the geometric meaning of perspective projection camera model, the coordinates of optical centre can be directly estimated in the world coordinate system. Then rotation matrix and translation vector can be obtained from the matrix. Finally, we can derive camera intrinsic parameters. During the process of derivation, for any given 3 by 4 matrix, the constraint conditions have been discussed in another way when the matrix could be described as a perspective projection transformation. Although it has the same result as pure algebra progress, it´s of great significance to understand the geometric meaning among the intrinsic and extrinsic camera parameters
  • Keywords
    calibration; geometry; image sensors; matrix algebra; algebra process; camera calibration; camera parameters; geometric meaning; perspective projection matrix; Algebra; Automation; Calibration; Cameras; Computer vision; Geometrical optics; Layout; Matrix decomposition; Optical distortion; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO). 2005 IEEE International Conference on
  • Conference_Location
    Shatin
  • Print_ISBN
    0-7803-9315-5
  • Type

    conf

  • DOI
    10.1109/ROBIO.2005.246312
  • Filename
    1708788