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Description
  • Capturing appearance of material with respect to illumination and viewing directions is crucial to achieve realistic visual experience in virtual environments. The capturing process is time demanding or requires a specific shape of the captured material. Therefore, we propose a method of such a data reconstruction from very sparse measurements, whose placement allows for continuous and fast acquisition, from which can benefit future acquisition setups. The proposed approach was tested on a number of view- and illumination- dependent samples and showed a promising performance in terms of whole data-space reconstruction speed and visual quality.
  • Capturing appearance of material with respect to illumination and viewing directions is crucial to achieve realistic visual experience in virtual environments. The capturing process is time demanding or requires a specific shape of the captured material. Therefore, we propose a method of such a data reconstruction from very sparse measurements, whose placement allows for continuous and fast acquisition, from which can benefit future acquisition setups. The proposed approach was tested on a number of view- and illumination- dependent samples and showed a promising performance in terms of whole data-space reconstruction speed and visual quality. (en)
Title
  • Restoring Illumination and View Dependent Data from Sparse Samples
  • Restoring Illumination and View Dependent Data from Sparse Samples (en)
skos:prefLabel
  • Restoring Illumination and View Dependent Data from Sparse Samples
  • Restoring Illumination and View Dependent Data from Sparse Samples (en)
skos:notation
  • RIV/67985556:_____/12:00384216!RIV13-AV0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GA102/08/0593), P(GAP103/11/0335)
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
  • 165312
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/12:00384216
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • reflectance measurement; BRDF reconstruction; sparse (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C05726167F31]
http://linked.open...v/mistoKonaniAkce
  • Tsukuba
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)
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
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Press
https://schema.org/isbn
  • 978-1-4673-2216-4
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