• DocumentCode
    178138
  • Title

    A New Geometric Approach for Faster Solving the Perspective-Three-Point Problem

  • Author

    Masselli, A. ; Zell, A.

  • Author_Institution
    Fac. of Sci., Dept. of Cognitive Syst., Univ. of Tuebingen, Tubingen, Germany
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    2119
  • Lastpage
    2124
  • Abstract
    We present a fast and simple method for solving the perspective-three-point (P3P) problem. The problem is specified as finding the position and orientation of a camera from a single image, showing three points, while the position of the corresponding points in the world is known. Our approach is based on a new geometric parametrization, yielding simpler algebraic terms to compute, compared to all state-of-the-art methods. It is therefore faster and more accurate, since calculations are saved and rounding errors appear less. The method also showed to be robust against noise. A special case of this method has been successfully applied to a robotics scenario. However, the method is feasible for all applications that utilize P3P problem solvers.
  • Keywords
    computer vision; geometry; P3P problem; algebraic terms; camera orientation; camera position; geometric parametrization; noise robustness; perspective-three-point problem; robotics scenario; Cameras; Noise; Polynomials; Robustness; Runtime; Standards; Transforms; Egomotion Estimation; Imaging Geometry; Relative Orientation; Structure from Motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.369
  • Filename
    6977081