• DocumentCode
    639435
  • Title

    BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition

  • Author

    Filip, Jiri ; Vavra, Radomir ; Haindl, Michal ; Id, Pavel ; Krupika, Mikula ; Havran, Vlastimil

  • Author_Institution
    Inst. of Inf. Theor. & Autom., Prague, Czech Republic
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1468
  • Lastpage
    1473
  • Abstract
    In this paper we introduce unique publicly available dense an isotropic BRDF data measurements. We use this dense data as a reference for performance evaluation of the proposed BRDF sparse angular sampling and interpolation approach. The method is based on sampling of BRDF subspaces at fixed elevations by means of several adaptively-represented, uniformly distributed, perpendicular slices. Although this proposed method requires only a sparse sampling of material, the interpolation provides a very accurate reconstruction, visually and computationally comparable to densely measured reference. Due to the simple slices measurement and method´s robustness it allows for a highly accurate acquisition of BRDFs. This in comparison with standard uniform angular sampling, is considerably faster yet uses far less samples.
  • Keywords
    data acquisition; image reconstruction; image sampling; BRDF slices; BRDF sparse angular sampling; adaptive anisotropic appearance acquisition; interpolation approach; isotropic BRDF data measurements; performance evaluation; reconstruction; Accuracy; Cameras; Image color analysis; Image reconstruction; Interpolation; Lighting; Materials; BRDF; adaptive; measurement; sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.193
  • Filename
    6619037