• DocumentCode
    3208034
  • Title

    Shape from periodic texture using the spectrogram

  • Author

    Krumm, John ; Shafer, Steven A.

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    284
  • Lastpage
    289
  • Abstract
    It is shown how local spatial image frequency is related to the surface normal of a textured surface. It is found that the Fourier power spectra of any two similarly textured patches on a plane are approximately related to each other by an affine transformation. The transformation parameters are a function of the plane´s surface normal. This relationship is used as the basis of an algorithm for finding surface normals of textured shapes using the spectrogram, which is one type of local spatial frequency representation. The relationship is validated by testing the algorithm on real textures. By analyzing shape and texture in terms of the local spatial frequency representation, the advantages of the representation for the shape-from-texture problem can be exploited. Specifically, the algorithm requires no feature detection and can give correct results even when the texture is aliased
  • Keywords
    Fourier analysis; image texture; Fourier power spectra; affine transformation; local spatial frequency representation; local spatial image frequency; periodic texture; shape-from-texture; similarly textured patches; spectrogram; surface normal; textured surface; transformation parameters; Aerospace electronics; Computer vision; Frequency; Image analysis; Marine vehicles; Pixel; Robots; Shape; Spectrogram; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223262
  • Filename
    223262