• DocumentCode
    3534017
  • Title

    Highly specific pose estimation with a catadioptric omnidirectional camera

  • Author

    Magnier, Baptiste ; Comby, Frédéric ; Strauss, Olivier ; Triboulet, Jean ; Demonceaux, Cédric

  • Author_Institution
    LIRMM, Univ. Montpellier II, Montpellier, France
  • fYear
    2010
  • fDate
    1-2 July 2010
  • Firstpage
    229
  • Lastpage
    233
  • Abstract
    This article presents a new method for estimating the pose of para-catadioptric vision systems. It is based on the estimation of vanishing points associated with vertical edges of the environment. However, unlike classical approaches no feature (line, circle) extraction and/or identification is needed. A sampled domain of possible vanishing points is tested and histograms are build to characterize the soundness of these points. A specificity index allows to find the more relevant histogram and the pose of the sensor. This method has been tested on simulated and real images giving very promising results (maximum angular error of 0.18 degree).
  • Keywords
    cameras; computer vision; image sensors; pose estimation; catadioptric omnidirectional camera; histograms; paracatadioptric vision systems; pose estimation; specificity index; vanishing point estimation; Cameras; Dynamic programming; Electric variables measurement; Energy measurement; Focusing; Laplace equations; Lenses; Neural networks; Shape measurement; Size measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques (IST), 2010 IEEE International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    978-1-4244-6492-0
  • Type

    conf

  • DOI
    10.1109/IST.2010.5548450
  • Filename
    5548450