• DocumentCode
    2352810
  • Title

    Issues on the geometry of central catadioptric image formation

  • Author

    Barreto, Joao P. ; Araujo, Helder

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Coimbra Univ., Portugal
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Abstract
    An imaging system with a single effective viewpoint is called a central projection system. The conventional perspective camera is an example of a central projection system. Systems using mirrors to enhance the field of view while keeping a unique center of projection are also examples of central projection systems. Perspective image formation can be described by a linear model with well known properties. In general central catadioptric imaging, the mapping between points in the world and in the image is highly nonlinear. The paper establishes a general model for central catadioptric image formation made up of three functions: a linear function mapping the world into an oriented projective plane, a nonlinear transformation between two oriented projective planes, and a collineation in the plane. The model is used to study issues in the projection of lines. The equations and geometric properties of general catadioptric imaging of lines are derived. The application of the results in auto-calibration of central catadioptric systems and reconstruction are discussed. A method to calibrate the system using three line images is presented.
  • Keywords
    computational geometry; computer vision; mirrors; auto-calibration; central catadioptric image formation geometry; central projection system; collineation; conventional perspective camera; geometric properties; imaging system; line images; linear function; linear model; mirrors; nonlinear transformation; oriented projective plane; perspective image formation; projection of lines; unique center of projection; Application software; Cameras; Computational geometry; Computer vision; Data mining; Mirrors; Nonlinear equations; Robot vision systems; Surveillance; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-1272-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2001.990992
  • Filename
    990992