3D Multi-frequency Fully Correlated Causal Random Field Texture Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F20%3A00522438" target="_blank" >RIV/67985556:_____/20:00522438 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/20:00054924
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-41299-9_33" target="_blank" >http://dx.doi.org/10.1007/978-3-030-41299-9_33</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-41299-9_33" target="_blank" >10.1007/978-3-030-41299-9_33</a>

Result language
angličtina
Original language name
3D Multi-frequency Fully Correlated Causal Random Field Texture Model
Original language description
We propose a fast novel multispectral texture model with an analytical solution for both parameter estimation as well as unlimited synthesis. This Gaussian random field type of model combines a principal random field containing measured multispectral pixels with an auxiliary random field resulting from a given function whose argument is the principal field data.nThe model can serve as a stand-alone texture model or a local model for more complex compound random field or bidirectional texture function models.nThe model can be beneficial not only for texture synthesis, enlargement, editing, or compression but also for high accuracy texture recognition.
Czech name
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Czech description
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Project
<a href="/en/project/GA19-12340S" target="_blank" >GA19-12340S: Surface material recognition under variable optical observation conditions</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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