BTF Potts compound texture model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00443580" target="_blank" >RIV/67985556:_____/15:00443580 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1117/12.2077481" target="_blank" >http://dx.doi.org/10.1117/12.2077481</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2077481" target="_blank" >10.1117/12.2077481</a>

Jazyk výsledku

angličtina

Název v původním jazyce

BTF Potts compound texture model

Popis výsledku v původním jazyce

This paper introduces a method for modeling mosaic-like textures using a multispectral parametric Bidirectional Texture Function (BTF) compound Markov random field model (CMRF). The primary purpose of our synthetic texture pproach is to reproduce, compress, and enlarge a given measured texture image so that ideally both natural and synthetic texture will be visually indiscernible, but the model can be easily applied for BFT material editing. The CMRF model consist of several sub-models each having different characteristics along with an underlying structure model which controls transitions between these sub models. The proposed model uses the Potts random field for distributing local texture models in the form of analytically solvable wide-sense BTF Markovian representation for single regions among the fields of a mosaic approximated by the Voronoi diagram. The control field of the BTF-CMRF is generated by the Potts random field model build on top of the adjacency graph of a measured m

Název v anglickém jazyce

BTF Potts compound texture model

Popis výsledku anglicky

This paper introduces a method for modeling mosaic-like textures using a multispectral parametric Bidirectional Texture Function (BTF) compound Markov random field model (CMRF). The primary purpose of our synthetic texture pproach is to reproduce, compress, and enlarge a given measured texture image so that ideally both natural and synthetic texture will be visually indiscernible, but the model can be easily applied for BFT material editing. The CMRF model consist of several sub-models each having different characteristics along with an underlying structure model which controls transitions between these sub models. The proposed model uses the Potts random field for distributing local texture models in the form of analytically solvable wide-sense BTF Markovian representation for single regions among the fields of a mosaic approximated by the Voronoi diagram. The control field of the BTF-CMRF is generated by the Potts random field model build on top of the adjacency graph of a measured m

Druh

D - Stať ve sborníku

CEP obor

BD - Teorie informace

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Measuring, Modeling, and Reproducing Material Appearance 2015

ISBN

978-1-62841-488-2

ISSN

0277-786X

e-ISSN

—

Počet stran výsledku

11

Strana od-do

—

Název nakladatele

SPIE-IS&T

Místo vydání

Bellingham

Místo konání akce

San Francisco

Datum konání akce

8. 2. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000354102200005