• DocumentCode
    2397854
  • Title

    Directions of egomotion from antipodal points

  • Author

    Lim, John ; Barnes, Nick

  • Author_Institution
    Dept. of Inf. Eng., Australian Nat. Univ., Acton, ACT
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We present a novel geometrical constraint on the egomotion of a single, moving camera. Using a camera with a large field-of-view (FOV), the optical flow measured at a single pair of antipodal points on the image sphere constrains the set of all possible camera motion directions to a subset region. By considering the flow at many such antipodal point pairs, it is shown that the intersection of all subset regions arising from each pair yields an estimate on the directions of motion. These antipodal point constraints rely on the geometrical properties of using a spherical representation of the image as well as the larger information content available from a large FOV. An algorithm using these constraints was implemented and tested on both simulated and real images. Results show comparable performance to the state of the art in the presence of noise and outliers whilst processing in constant time.
  • Keywords
    image motion analysis; image representation; image sequences; antipodal points; camera motion directions; egomotion; geometrical constraint; moving camera; optical flow; spherical image representation; Cameras; Geometrical optics; Image motion analysis; Layout; Motion estimation; Nonlinear equations; Nonlinear optics; Optical sensors; Testing; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-2242-5
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2008.4587497
  • Filename
    4587497