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Description
  • In this paper we introduce unique publicly available dense anisotropic 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.
  • In this paper we introduce unique publicly available dense anisotropic 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. (en)
Title
  • BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition
  • BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition (en)
skos:prefLabel
  • BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition
  • BRDF Slices: Accurate Adaptive Anisotropic Appearance Acquisition (en)
skos:notation
  • RIV/68407700:21230/13:00206182!RIV14-GA0-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP202/12/2413)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 63839
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/13:00206182
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • BRDF; surface reflectance acqusition; BRDF gantry (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A13EC07882EC]
http://linked.open...v/mistoKonaniAkce
  • OR
http://linked.open...i/riv/mistoVydani
  • Los Alamitos
http://linked.open...i/riv/nazevZdroje
  • CVPR: 2013 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Filip, Jiří
  • Haindl, Michal
  • Havran, Vlastimil
  • Krupicka, Mikulas
  • Vavra, Radomir
  • Zid, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000331094301067
http://linked.open.../riv/zahajeniAkce
issn
  • 1063-6919
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/CVPR.2013.193
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society Press
http://localhost/t...ganizacniJednotka
  • 21230
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