• DocumentCode
    383991
  • Title

    Panoramic stereo reconstruction using non-SVP optics

  • Author

    Fiala, Mark ; Basu, Anup

  • Author_Institution
    Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta., Canada
  • Volume
    4
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    27
  • Abstract
    Omni-directional sensors are useful in obtaining a 360° field of view with a single lens camera. Omni-directional stereo imaging systems were designed in our past research using a single camera and a mirror consisting of two concentric, radially symmetric lobes. If the central camera-mirror axis is vertical, a stereo image containing imagery from all azimuth directions from two viewpoints can be captured within one image. A vertically posed catadioptric optical system that employs a mirror with a radial profile other than parabolic or hyperbolic cannot maintain the straightness of any nonvertical lines. However, non-SVP (single view-point) mirror profiles are desirable for resolution distribution, sensor size and manufacturability. Since they lack a virtual perspective point, they pose new feature extraction challenges. A method for processing the imagery is introduced. Horizontal line segments are extracted using the panoramic Hough transform and vertical line segments are recognized as straight radial lines. These segments, and closed shapes they form are matched between the two lobe views to locate them in three-dimensions. Experimental results are presented.
  • Keywords
    Hough transforms; feature extraction; image reconstruction; stereo image processing; central camera-mirror axis; closed shapes; concentric radially symmetric lobes; horizontal line segments; manufacturability; mirror; mirror profiles; non-SVP optics; omnidirectional sensors; omnidirectional stereo imaging systems; panoramic Hough transform; panoramic stereo reconstruction; resolution distribution; sensor size; single lens camera; stereo image; straight radial lines; vertical line segments; vertically posed catadioptric optical system; Azimuth; Cameras; Image reconstruction; Image segmentation; Lenses; Manufacturing; Mirrors; Optical imaging; Optical sensors; Stereo image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1047392
  • Filename
    1047392