• DocumentCode
    2237753
  • Title

    Depth from focusing and defocusing

  • Author

    Xiong, Yalin ; Shafer, Steven A.

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1993
  • fDate
    15-17 Jun 1993
  • Firstpage
    68
  • Lastpage
    73
  • Abstract
    The problem of obtaining depth information from focusing and defocusing is studied. In depth from focusing, instead of the Fibonacci search, which is often trapped in local maxima, the combination of Fibonacci search and curve fitting is proposed. This combination leads to an unprecedentedly accurate result. A model of the blurring effect that takes geometric blurring as well as imaging blurring into consideration in the calibration of the blurring model is proposed. In spectrogram-based depth from defocusing, a maximal resemblance estimation method is proposed to decrease or eliminate the window effect
  • Keywords
    calibration; curve fitting; image processing; search problems; Fibonacci search; blurring effect; calibration; curve fitting; depth-from-defocusing; depth-from-focusing; geometric blurring; imaging blurring; maximal resemblance estimation method; spectrograms; window effect; Calibration; Cameras; Curve fitting; Focusing; Hardware; Humans; Lenses; Machine vision; Robot vision systems; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-3880-X
  • Type

    conf

  • DOI
    10.1109/CVPR.1993.340977
  • Filename
    340977