• DocumentCode
    3021437
  • Title

    Geometric Modeling and Calibration of Planar Multi-Projector Displays Using Rational Bezier Patches

  • Author

    Bhasker, Ezekiel S. ; Majumder, Aditi

  • Author_Institution
    Dept. of Comput. Sci., Univ. of California, Irvine, CA
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In order to achieve seamless imagery in a planar multi-projector display, geometric distortions and misalignment of images within and across projectors have to be removed. Camera-based calibration methods are popular for achieving this in an automated fashion. Previous methods for geometric calibration fall into two categories: (a) methods that model the geometric function relating the projectors to cameras using simple linear models, like homography, to calibrate the display. These models assume perfect linear devices and cannot address projector nonlinearities, like lens distortions, which are common in most commodity projectors, (b) methods that use piecewise linear approximations to model the relationship between projectors and cameras. These require a dense sampling of the function space to achieve good calibration. In this paper, we present a new closed-form model that relates projectors to cameras in planar multi-projector displays, using rational Bezier patches. This model overcomes the shortcomings of the previous methods by allowing for projectors with significant lens distortion. It can be further used to develop an efficient and accurate geometric calibration method with a sparse sampling of the function.
  • Keywords
    calibration; display devices; distortion; optical projectors; piecewise linear techniques; camera-based calibration methods; geometric distortions; geometric modeling; image misalignment; piecewise linear approximations; planar multi-projector display calibration; rational Bezier patches; sparse sampling; Calibration; Cameras; Computer displays; Computer science; Lenses; Nonlinear distortion; Photometry; Piecewise linear techniques; Sampling methods; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383466
  • Filename
    4270464