About: A Psychophysical Evaluation of Texture Degradation Descriptors

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

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Delivering a digital realistic appearance of materials is one of the most difficult tasks of computer vision. Accurate representation of surface texture can be obtained by means of view and illumination dependent textures. However, this kind of appearance representation produces massive datasets so their compression is inevitable. For optimal visual performance of compression methods, their parameters should be set dependently on the actual material. We propose a set of statistical descriptors motivated by standard textural features, and psychophysically evaluate their performance on three subtle artificial texture visual degradations. We tested the five types of descriptors on five different textures and combination of thirteen surface shapes and two illuminations. We have found that descriptors based on two-dimensional causal auto-regressive model, have the highest correlation with the psychophysical results. Delivering a digital realistic appearance of materials is one of the most difficult tasks of computer vision. Accurate representation of surface texture can be obtained by means of view and illumination dependent textures. However, this kind of appearance representation produces massive datasets so their compression is inevitable. For optimal visual performance of compression methods, their parameters should be set dependently on the actual material. We propose a set of statistical descriptors motivated by standard textural features, and psychophysically evaluate their performance on three subtle artificial texture visual degradations. We tested the five types of descriptors on five different textures and combination of thirteen surface shapes and two illuminations. We have found that descriptors based on two-dimensional causal auto-regressive model, have the highest correlation with the psychophysical results. (en)
Title	A Psychophysical Evaluation of Texture Degradation Descriptors A Psychophysical Evaluation of Texture Degradation Descriptors (en)
skos:prefLabel	A Psychophysical Evaluation of Texture Degradation Descriptors A Psychophysical Evaluation of Texture Degradation Descriptors (en)
skos:notation	RIV/67985556:_____/10:00346556!RIV11-MSM-67985556
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1M0572), P(GA102/08/0593), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat	2011
http://linked.open...aciTvurceVysledku	Filip, Jiří Vácha, Pavel Haindl, Michal
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav teorie informace a automatizace AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	244895
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/10:00346556
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	texture; degradation; statistical features; BTF; psychophysics (en)
http://linked.open.../riv/klicoveSlovo	degradation texture BTF psychophysics statistical features
http://linked.open...ontrolniKodProRIV	[EE9860D83126]
http://linked.open...v/mistoKonaniAkce	Cesme, Izmir
http://linked.open...i/riv/mistoVydani	Berlin / Heidelberg
http://linked.open...i/riv/nazevZdroje	Structural, Syntactic, and Statistical Pattern Recognition
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making BTF Texture Modelling
http://linked.open...UplatneniVysledku	2010
http://linked.open...iv/tvurceVysledku	Filip, Jiří Haindl, Michal Vácha, Pavel Green, P. R.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2010-08-18 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Pokročilé matematické metody získávání, zpracování a využití informací a znalostí ve složitých a nedeterministických systémech
number of pages	11 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag. (Berlin; Heidelberg)
https://schema.org/isbn	978-3-642-14979-5

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