• DocumentCode
    3206355
  • Title

    A minimal solution to the generalised 3-point pose problem

  • Author

    Nistér, David

  • Author_Institution
    Sarnoff Corp., Princeton, NJ, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Abstract
    It is a well known classical result that given the image projections of three known world points it is possible to solve for the pose of a calibrated perspective camera to up to four pairs of solutions. We solve the generalised problem where the camera is allowed to sample rays in some arbitrary but known fashion and is not assumed to perform a central perspective projection. That is, given three back-projected rays that emanate from a camera or multi-camera rig in an arbitrary but known fashion, we seek the possible poses of the camera such that the three rays meet three known world points. We show that the generalised problem has up to eight solutions that can be found as the intersections between a circle and a ruled quartic surface. A minimal and efficient constructive numerical algorithm is given to find the solutions. The algorithm derives an octic polynomial whose roots correspond to the solutions. In the classical case, when the three rays are concurrent, the ruled quartic surface and the circle possess a reflection symmetry such that their intersections come in symmetric pairs. This manifests itself in that the odd order terms of the octic polynomial vanish. As a result, up to four pairs of solutions can be found in closed form. The proposed algorithm can be used to solve for the pose of any type of calibrated camera or camera rig. The intended use for the algorithm is in a hypothesise-and-test architecture.
  • Keywords
    algebra; calibration; cameras; computational geometry; image processing; algebra; calibration; central perspective projection; computational geometry; generalised 3-point pose problem; image projection; minimal solution; multicamera rig; numerical algorithm; octic polynomial; reflection symmetry; ruled quartic surface; three back projected rays; three point pose problem; Cameras; Collaboration; Computer architecture; Computer vision; Geometry; Government; Mirrors; Polynomials; Reflection; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315081
  • Filename
    1315081