About: Near-Regular Texture Synthesis

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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	This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textures cannot be successfully modelled using neither simple tiling nor using purely stochastic models. However these textures are often required for realistic appearance visualisation of many man-made environments and for some natural scenes as well. The principle of our near-regular texture synthesis and editing method is to automatically recognise and separate periodic and random components of the corresponding texture. Each of these components is subsequently modelled using its optimal method. The regular texture part is modelled using our roller method, while the random part is synthesised from its estimated exceptionally efficient Markov random field based representation. This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textures cannot be successfully modelled using neither simple tiling nor using purely stochastic models. However these textures are often required for realistic appearance visualisation of many man-made environments and for some natural scenes as well. The principle of our near-regular texture synthesis and editing method is to automatically recognise and separate periodic and random components of the corresponding texture. Each of these components is subsequently modelled using its optimal method. The regular texture part is modelled using our roller method, while the random part is synthesised from its estimated exceptionally efficient Markov random field based representation. (en)
Title	Near-Regular Texture Synthesis Near-Regular Texture Synthesis (en)
skos:prefLabel	Near-Regular Texture Synthesis Near-Regular Texture Synthesis (en)
skos:notation	RIV/67985556:_____/09:00328988!RIV10-MSM-67985556
http://linked.open...avai/riv/aktivita	P Z
http://linked.open...avai/riv/aktivity	P(1M0572), P(2C06019), P(GA102/08/0593), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Hatka, Martin 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	328809
http://linked.open...ai/riv/idVysledku	RIV/67985556:_____/09:00328988
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	texture modelling; near-regular texture (en)
http://linked.open.../riv/klicoveSlovo	near-regular texture texture modelling
http://linked.open...ontrolniKodProRIV	[3BA40ABCBC6B]
http://linked.open...v/mistoKonaniAkce	Muenster
http://linked.open...i/riv/mistoVydani	Heidelberg
http://linked.open...i/riv/nazevZdroje	Computer Analysis of Images and Patterns
http://linked.open...in/vavai/riv/obor	BD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Data, algorithms, decision making (Medical) Knowledge Acquisition and Modelling BTF Texture Modelling
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Haindl, Michal Hatka, Martin
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2009-09-02 (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	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-642-03766-5

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