• DocumentCode
    2224029
  • Title

    Catadioptric sensors that approximate wide-angle perspective projections

  • Author

    Hicks, R. Andrew ; Bajcsy, Ruzena

  • Author_Institution
    Dept. of Math. & Comput. Sci., Drexel Univ., Philadelphia, PA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    545
  • Abstract
    We present two families of reflective surfaces that are capable of providing a wide field of view, and yet still approximate a perspective projection to a high degree. These surfaces are derived by considering a plane perpendicular to the axis of a surface of revolution and finding the equations governing the distortion of the image of the plane in this surface. We then view this relation as a differential equation and prescribe the distortion term to be linear. By choosing appropriate initial conditions for the differential equation and solving it numerically, we derive the surface shape and obtain a precise estimate as to what degree the resulting sensor can approximate a perspective projection. Thus these surfaces act as computational sensors, allowing for a wide-angle perspective view of a scene without processing the image in software. The applications of such a sensor should be numerous, including surveillance, robotics and tradition photography
  • Keywords
    computer vision; image sensors; catadioptric sensors; computational sensors; image sensors; reflective surfaces; wide-angle perspective projections; Cameras; Differential equations; Image sensors; Lenses; Mirrors; Photography; Robot sensing systems; Robot vision systems; Shape; Surveillance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
  • Conference_Location
    Hilton Head Island, SC
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0662-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2000.855867
  • Filename
    855867