• DocumentCode
    1742744
  • Title

    EPI analysis of omni-camera image

  • Author

    Kawasaki, Hiroshi ; Ikeuchi, Katsushi ; Sakauchi, Masao

  • Author_Institution
    Inst. of Ind. Sci., Tokyo Univ., Japan
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    379
  • Abstract
    The paper describes an efficient method to obtain 3D information from omni-camera images using epipolar-plane image (EPI) analysis. Two types of omni cameras are employed to make a spatio-temporal volume, which is a sequence of omni images stacked in the spatio-temporal space. For the EPI analysis of omni image, we examine different types of cross sections in such spatio-temporal volumes. To conduct the EPI analysis realisticly, we must find out the cross section on which the vertical straight lines in the real world are preserved as straight lines. We define such a cross section as omni EPI. To acquire 3D information using the characteristics of the omni EPI, we propose model based EPI analysis. To demonstrate the effectiveness of this method, we present experimental results using an omni video of outdoor environments
  • Keywords
    feature extraction; image matching; image sensors; 3D information; cross sections; epipolar-plane image analysis; omni video; omni-camera images; spatio-temporal space; spatio-temporal volume; vertical straight lines; Cameras; Computational efficiency; Data mining; Feature extraction; Image analysis; Information analysis; Mirrors; Motion analysis; Robustness; Stacking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905357
  • Filename
    905357