• DocumentCode
    3495337
  • Title

    Omnidirectional image processing using geodesic metric

  • Author

    Demonceaux, C. ; Vasseur, P.

  • Author_Institution
    M.I.S. EA 4290, Univ. of Picardie, Amiens, France
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    Due to distorsions of catadioptric sensors, omnidirectional images can not be treated as classical images. If the equivalence between central catadioptric images and spherical images is now well known and used, spherical analysis often leads to complex methods particularly tricky to employ. In this paper, we propose to derive omnidirectional image treatments by using geodesic metric. We demonstrate that this approach allows to adapt efficiently classical image processing to omnidirectional images.
  • Keywords
    differential geometry; image processing; image sensors; catadioptric sensors; central catadioptric images; geodesic metric; omnidirectional image processing; spherical analysis; spherical images; Cameras; Convolution; Filtering; Geometry; Geophysics computing; Image processing; Image sampling; Image sensors; Low pass filters; Mirrors; Omnidirectional image; image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414485
  • Filename
    5414485