About: A psychophysically validated metric for bidirectional texture data reduction     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Dvousměrné texturní funkce (BTF) se obecně považují za reprezentaci, která poskytuje nejrealističtější smyslové vnímání materiálů na vizualizovaných obrazech. Klíčem pro efektivní kompresi BTF je rozhodnutí, jaké množství dat má být zachováno. Psychofyzickými testy jsme ukázali, že toto rozhodnutí kriticky záleží na konkrétním materiálu. Vyvinuli jsme BTF metriku, která umožňuje automatické určení kompresních parametrů materiálu tak, aby odpovídaly požadované smyslové kvalitě. Ověřili jsme korelaci tří různých BTF metrik s psychofyzicky odvozenými daty. Osm materiálů bylo předloženo jedenácti nepoučeným pozorovatelům, kteří posuzovali vnímanou kvalitu BTF zobrazení při proměnné množství zachovaných dat. Metrikou, která nejlépe korelovala s prahy pozorovatelů byl střední rozptyl jednotlivých BTF obrazů. Tato metrika byla využita pro automatické určení materiálově závislých kompresních parametrů ve vektorové kvantizační metodě. (cs)
  • Bidirectional Texture Functions (BTF) are commonly thought to provide the most realistic perceptual experience of materials from rendered images. The key to providing efficient compression of BTFs is the decision as to how much of the data should be preserved. We use psychophysical experiments to show that this decision depends critically upon the material concerned. Furthermore, we develop a BTF derived metric that enables us to automatically set a material's compression parameters in such a way as to provide users with a predefined perceptual quality. We investigate the correlation of three different BTF metrics with psychophysically derived data. Eight materials were presented to eleven naive observers who were asked to judge the perceived quality of BTF renderings as the amount of preserved data was varied. The metric showing the highest correlation with the thresholds set by the observers was the mean variance of individual BTF images.
  • Bidirectional Texture Functions (BTF) are commonly thought to provide the most realistic perceptual experience of materials from rendered images. The key to providing efficient compression of BTFs is the decision as to how much of the data should be preserved. We use psychophysical experiments to show that this decision depends critically upon the material concerned. Furthermore, we develop a BTF derived metric that enables us to automatically set a material's compression parameters in such a way as to provide users with a predefined perceptual quality. We investigate the correlation of three different BTF metrics with psychophysically derived data. Eight materials were presented to eleven naive observers who were asked to judge the perceived quality of BTF renderings as the amount of preserved data was varied. The metric showing the highest correlation with the thresholds set by the observers was the mean variance of individual BTF images. (en)
Title
  • A psychophysically validated metric for bidirectional texture data reduction
  • Psychofyzicky ověřená metrika pro redukci BTF texturních dat (cs)
  • A psychophysically validated metric for bidirectional texture data reduction (en)
skos:prefLabel
  • A psychophysically validated metric for bidirectional texture data reduction
  • Psychofyzicky ověřená metrika pro redukci BTF texturních dat (cs)
  • A psychophysically validated metric for bidirectional texture data reduction (en)
skos:notation
  • RIV/67985556:_____/08:00317592!RIV09-GA0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET400750407), P(GA102/08/0593), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika
  • 5
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
  • 354420
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/08:00317592
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Bidirectional Texture Functions; texture compression (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [59FAB82900E0]
http://linked.open...i/riv/nazevZdroje
  • ACM Transactions on Graphics
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...v/svazekPeriodika
  • 27
http://linked.open...iv/tvurceVysledku
  • Filip, Jiří
  • Haindl, Michal
  • Green, P. R.
  • Chantler, M. J.
http://linked.open...n/vavai/riv/zamer
issn
  • 0730-0301
number of pages
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 106 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software