About: Probabilistic Discrete Mixtures Colour Texture Models     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
  • Článek prezentuje nový generativní multispektrální texturní model založený na diskrétních distribučních směsích. Statistické texturní vlastnosti jsou reprezentovány pomocí diskrétní distribuční směsi násobných komponentů. Přírodní barevná nebo multispektrální textura je spektrální faktorizována a diskrétní směsové modely se učí na jednotlivých ortogonálních monospektrálních složkách. Syntéza textury je založena na snadném výpočtu libovolné podmíněné distribuce modelu. Nakonec jsou jednotlivé syntetizované monospektrální texturní složky transformovány do požadované syntetické barevné textury. Tento model se může snadno použít pro segmentaci textur, vyhledávání, nebo modelování jednotlivých faktorů modelů BTF prostoru. Výhody a nedostatky prezentovaného modelu jsou předvedeny na několika aplikacích barevných textur. (cs)
  • A new generative multispectral texture model based on discrete distribution mixtures is introduced. Statistical texture properties are represented by a discrete distribution mixture of product components. A natural colour or multispectral texture is spectrally factorized and discrete mixtures models are learned and used to synthesize single orthogonal monospectral components. Texture synthesis is based on easy computation of arbitrary conditional distributions from the model. Finally single synthesized monospectral texture components are transformed into the required synthetic colour texture. This model can easily serve for texture segmentation, retrieval or to model single factors in complex Bidirectional Texture Function (BTF) space models. The advantages and weak points of the presented approach are demonstrated on several colour texture applications.
  • A new generative multispectral texture model based on discrete distribution mixtures is introduced. Statistical texture properties are represented by a discrete distribution mixture of product components. A natural colour or multispectral texture is spectrally factorized and discrete mixtures models are learned and used to synthesize single orthogonal monospectral components. Texture synthesis is based on easy computation of arbitrary conditional distributions from the model. Finally single synthesized monospectral texture components are transformed into the required synthetic colour texture. This model can easily serve for texture segmentation, retrieval or to model single factors in complex Bidirectional Texture Function (BTF) space models. The advantages and weak points of the presented approach are demonstrated on several colour texture applications. (en)
Title
  • Probabilistic Discrete Mixtures Colour Texture Models
  • Pravděpodobnostní diskrétní směsové barevné texturní modely (cs)
  • Probabilistic Discrete Mixtures Colour Texture Models (en)
skos:prefLabel
  • Probabilistic Discrete Mixtures Colour Texture Models
  • Pravděpodobnostní diskrétní směsové barevné texturní modely (cs)
  • Probabilistic Discrete Mixtures Colour Texture Models (en)
skos:notation
  • RIV/67985556:_____/08:00311950!RIV09-GA0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET400750407), P(1M0572), P(GA102/07/1594), P(GA102/08/0593), Z(AV0Z10750506)
http://linked.open...iv/cisloPeriodika
  • 5197
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
  • 389729
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/08:00311950
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Discrete distribution mixtures; EM algorithm; texture modeling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [76228623B85D]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Computer Science
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
  • 2008
http://linked.open...iv/tvurceVysledku
  • Haindl, Michal
  • Grim, Jiří
  • Havlíček, Vojtěch
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
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, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software