• DocumentCode
    2491172
  • Title

    Shape from focus: an effective approach for rough surfaces

  • Author

    Nayar, Shree K. ; Nakagawa, Yasuo

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1990
  • fDate
    13-18 May 1990
  • Firstpage
    218
  • Abstract
    Two algorithms for depth estimation are presented. The first algorithm simply looks for the focus level that maximizes the focus measure at each image point. The second algorithm uses a Gaussian model to interpolate the focus measures to obtain more accurate depth estimates. The algorithms were implemented and tested on surfaces of different roughness and reflectance properties. The results indicate that the shape-from-focus method may be applied to a variety of industrial vision problems
  • Keywords
    computer vision; focusing; pattern recognition; picture processing; Gaussian model; depth estimates; depth estimation; focus level; industrial vision; rough surfaces; shape-from-focus method; Focusing; Frequency; Image analysis; Image sensors; Image sequences; Layout; Robots; Rough surfaces; Shape; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1990. Proceedings., 1990 IEEE International Conference on
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    0-8186-9061-5
  • Type

    conf

  • DOI
    10.1109/ROBOT.1990.125976
  • Filename
    125976