Texture Spectral Decorrelation Criteria
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F25%3A00602524" target="_blank" >RIV/67985556:_____/25:00602524 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-78172-8_21" target="_blank" >http://dx.doi.org/10.1007/978-3-031-78172-8_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-78172-8_21" target="_blank" >10.1007/978-3-031-78172-8_21</a>
Alternative languages
Result language
angličtina
Original language name
Texture Spectral Decorrelation Criteria
Original language description
We introduce texture spectral criteria, which allow us to predict whether simplified spectrally factorized random field-based texture models, a set of two-dimensional models, can faithfully replicate texture spectra compared to their fully spectrally correlated 3D counterparts. These probabilistic models incorporate essential two- or three-dimensional building factors for modeling the seven-dimensional Bidirectional Texture Function (BTF), the most advanced representation in real-world material visual properties modeling. While these models seamlessly approximate original measured massive data and extend them to arbitrary sizes or simulate unmeasured textures, evaluating typically involves time-consuming synthesis and psycho-physical evaluation. The proposed criteria provide an alternative approach, enabling us to bypass the spectral quality evaluation step.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Pattern Recognition : 27th International Conference, ICPR 2024
ISBN
978-3-031-78172-8
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
10
Pages from-to
324-333
Publisher name
Springer Nature Switzerland
Place of publication
Cham
Event location
Kolkata
Event date
Dec 1, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001565029100021