Bidirectional Texture Function Simultaneous Autoregressive Model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F12%3A00380289" target="_blank" >RIV/67985556:_____/12:00380289 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/12:00041213
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-32436-9_13" target="_blank" >http://dx.doi.org/10.1007/978-3-642-32436-9_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-32436-9_13" target="_blank" >10.1007/978-3-642-32436-9_13</a>
Alternative languages
Result language
angličtina
Original language name
Bidirectional Texture Function Simultaneous Autoregressive Model
Original language description
The Bidirectional Texture Function (BTF) is the recent most advanced representation of visual properties of surface materials. It specifies their altering appearance due to varying illumination and viewing conditions. Corresponding huge BTF measurementsrequire a mathematical representation allowing simultaneously extremal compression as well as high visual fidelity. We present a novel Markovian BTF model based on a set of underlying simultaneous autoregressive models (SAR). This complex but efficient BTF-SAR model combines several multispectral band limited spatial factors and range map sub-models to produce the required BTF texture space. The BTF-SAR model enables very high BTF space compression ratio, texture enlargement, and reconstruction of missing unmeasured parts of the BTF space.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Intelligence for Multimedia Understanding
ISBN
978-3-642-32435-2
ISSN
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e-ISSN
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Number of pages
11
Pages from-to
149-159
Publisher name
Springer
Place of publication
Berlin
Event location
Pisa
Event date
Dec 13, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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