• DocumentCode
    2991737
  • Title

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

  • Author

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

  • Author_Institution
    Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
  • fYear
    1988
  • fDate
    5-9 Jun 1988
  • Firstpage
    82
  • Lastpage
    88
  • Abstract
    A novel method for the determination of camera location from 2-D to 3-D line or point correspondences is presented. Using this method, the computation 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 of more line correspondences, where the line correspondences are either given or derived from point correspondences. Then, the translation vector can be 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 or point 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
    cameras; computer vision; matrix algebra; pattern recognition; vectors; 2D line; 3D line; camera location; linear equations; machine vision; point correspondences; rotation matrix; translation vector; Cameras; Control systems; Convergence; Focusing; Image analysis; Image recognition; Leg; Nonlinear equations; Two dimensional displays; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-0862-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1988.196218
  • Filename
    196218