Three-dimensional Gaussian Mixture Texture Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00467541" target="_blank" >RIV/67985556:_____/16:00467541 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Three-dimensional Gaussian Mixture Texture Model
Original language description
Visual texture modeling based on multidimensional mathematical models is the prerequisite for both robust material recognition as well as for image restoration, compression or numerous physically correct virtual reality applications. A novel multispectral visual texture modeling method based on a descriptive, unusually complex, three-dimensional, spatial Gaussian mixture model is presented. Texture synthesis benefits from easy computation of arbitrary conditional distributions from the model. The model is inherently multispectral thus it does not suffer with the spectral quality compromises of the spectrally factorized alternative approaches. The model is especially well suited for multispectral textile textures and it can also describe the most advanced textural representation in the form of a bidirectional texture function (BTF).
Czech name
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Czech description
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Project
<a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 23rd International Conference on Pattern Recognition (ICPR)
ISBN
978-1-5090-4846-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
2026-2031
Publisher name
IEEE
Place of publication
Piscataway
Event location
Cancún
Event date
Dec 4, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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