• DocumentCode
    2770368
  • Title

    Analyzing the bidirectional texture function

  • Author

    Suen, Pei-hsiu ; Healey, Glenn

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Irvine, CA, USA
  • fYear
    1998
  • fDate
    23-25 Jun 1998
  • Firstpage
    753
  • Lastpage
    758
  • Abstract
    The observed image texture for a rough surface has a complex dependence on the illumination and viewing angles due to effects such as local shading, interreflections, and the shadowing and occlusion of surface elements. We introduce the dimensionality surface as a representation for the visual complexity of a material sample. The dimensionality surface defines the number of basis features that are required to represent the space of observed textures for a surface as a function of ranges of illumination and viewing angles. Basis textures are represented using multiband correlation functions. We study properties of the dimensionality surface for real materials using the Columbia Utrecht Reflectance and Texture (CUReT) database. The analysis shows that the dependence of the dimensionality surface on ranges of illumination and viewing angles is approximately linear with a slope dependent on the complexity of the sample
  • Keywords
    computational complexity; computer vision; image texture; Columbia Utrecht reflectance and texture database; bidirectional texture function analysis; dimensionality surface; illumination; image texture; interreflections; local shading; multiband correlation functions; occlusion; real materials; rough surface; shadowing; viewing angles; visual complexity; Data analysis; Image texture; Image texture analysis; Lighting; Reflectivity; Rough surfaces; Shadow mapping; Spatial databases; Surface roughness; Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
  • Conference_Location
    Santa Barbara, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-8497-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1998.698688
  • Filename
    698688