• DocumentCode
    1368660
  • Title

    Surface orientation from projective foreshortening of isotropic texture autocorrelation

  • Author

    Brown, L.G. ; Shvaytser, H.

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY
  • Volume
    12
  • Issue
    6
  • fYear
    1990
  • fDate
    6/1/1990 12:00:00 AM
  • Firstpage
    584
  • Lastpage
    588
  • Abstract
    A method for determining local surface orientation from the autocorrelation function of statistically isotropic textures is introduced. It relies on the foreshortening that occurs in the image of an oriented surface, and the analogous foreshortening produced in the texture-autocorrelation function. This method assumes textural isotropy, but does not require the texture to be composed of texels or assume other texture regularities. The technique was applied to natural images of planar-textured surfaces and found to give good results. The simplicity of the method and its use of information from all parts of the image are emphasized
  • Keywords
    correlation methods; picture processing; autocorrelation; isotropic texture; picture processing; planar-textured surfaces; projective foreshortening; surface orientation; textural isotropy; Autocorrelation; Computer science; Computer vision; Gradient methods; Histograms; Image reconstruction; Layout; Surface fitting; Surface reconstruction; Surface texture;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.56194
  • Filename
    56194