• DocumentCode
    3015253
  • Title

    An Efficient Minimal Solution for Infinitesimal Camera Motion

  • Author

    Stewénius, Henrik ; Engels, Chris ; Nistér, David

  • Author_Institution
    Univ. of Kentucky, Lexington
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Given five motion vectors observed in a calibrated camera, what is the rotational and translational velocity of the camera? This problem is the infinitesimal motion analogue to the five-point relative orientation problem, which has previously been solved through the derivation of a tenth-degree polynomial and extraction of its roots. Here, we present the first efficient solution to the infinitesimal version of the problem. The solution is faster than its finite counterpart. In our experiments, we investigate over which range of motions and scene distances the infinitesimal approximation is valid and show that the infinitesimal approximation works well in applications such as camera tracking.
  • Keywords
    cameras; image motion analysis; camera tracking; efficient minimal solution; five-point relative orientation problem; infinitesimal camera motion; rotational velocity; translational velocity; Approximation algorithms; Cameras; Geometrical optics; Image motion analysis; Layout; Optical sensors; Polynomials; Tracking; Virtual environment; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383113
  • Filename
    4270138