• DocumentCode
    1636910
  • Title

    Geometric camera calibration using systems of linear equations

  • Author

    Gremban, K.D. ; Thorpe, Charles E. ; Kanade, Takeo

  • fYear
    1988
  • Firstpage
    562
  • Abstract
    Geometric camera calibration is the process of determining a mapping between points in world coordinates and the corresponding image locations of the points. In previous methods, calibration typically involved the iterative solution to a system of nonlinear equations. A method is presented for performing camera calibration that provides a complete, accurate solution, using only linear systems of equations. By using two calibration planes, a line-of-sight vector is defined for each pixel in the image. The effective focal point of a camera can be obtained by solving the system that defines the intersection point of the line-of-sight vectors. Once the focal point has been determined, a complete camera model can be obtained with a straightforward least-squares procedure. This method of geometric camera calibration has the advantages of being accurate, efficient, and practical for a wide variety of applications
  • Keywords
    calibration; cameras; camera; geometric calibration; least-squares procedure; line-of-sight vector; linear equations; Calibration; Cameras; Computer graphics; Computer vision; Nonlinear equations; Pixel; Road vehicles; Robot kinematics; Robot vision systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1988. Proceedings., 1988 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-8186-0852-8
  • Type

    conf

  • DOI
    10.1109/ROBOT.1988.12111
  • Filename
    12111