• DocumentCode
    755374
  • Title

    Determination of camera location from 2-D to 3-D line and point correspondences

  • Author

    Liu, Yuncai ; Huang, Thomas S. ; Faugeras, Oliver D.

  • Author_Institution
    Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
  • Volume
    12
  • Issue
    1
  • fYear
    1990
  • fDate
    1/1/1990 12:00:00 AM
  • Firstpage
    28
  • Lastpage
    37
  • Abstract
    A method for the determination of camera location from two-dimensional (2-D) to three-dimensional (3-D) straight line or point correspondences is presented. With this method, the computations of the rotation matrix and the translation vector of the camera are separable. First, the rotation matrix is found by a linear algorithm using eight or more line correspondences, or by a nonlinear algorithm using three or more line correspondences, where the line correspondences are either given or derived from point correspondences. Then, the translation vector is obtained by solving a set of linear equations based on three or more line correspondences, or two or more point correspondences. Eight 2-D to 3-D line correspondences or six 2-D to 3-D point correspondences are needed for the linear approach; three 2-D to 3-D line or point correspondences for the nonlinear approach. Good results can be obtained in the presence of noise if more than the minimum required number of correspondences are used
  • Keywords
    pattern recognition; picture processing; 2D line correspondences; 3D line correspondences; camera location; pattern recognition; picture processing; point correspondences; rotation matrix; translation vector; Aircraft; Calibration; Cameras; Control systems; Image analysis; Nonlinear equations; Orbital robotics; Robot kinematics; Robot vision systems; Vectors;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.41381
  • Filename
    41381