Mutual Information-Based Texture Spectral Similarity Criterion
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00510483" target="_blank" >RIV/67985556:_____/19:00510483 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-33720-9_23" target="_blank" >http://dx.doi.org/10.1007/978-3-030-33720-9_23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-33720-9_23" target="_blank" >10.1007/978-3-030-33720-9_23</a>
Alternative languages
Result language
angličtina
Original language name
Mutual Information-Based Texture Spectral Similarity Criterion
Original language description
Fast novel texture spectral similarity criterion, capable of assessing spectral modeling resemblance of color and Bidirectional Texture Functions (BTF) textures, is presented. The criterion reliably compares the multi-spectral pixel values of two textures, and thus it allows to assist an optimal modeling or acquisition setup development by comparing the original data with its synthetic simulations. The suggested criterion, together with existing alternatives, is extensively tested in a long series of thousands specially designed monotonically degrading experiments moreover, successfully compared on a wide variety of color and BTF textures.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
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
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Visual Computing : 14th International Symposium on Visual Computing (ISVC 2019)
ISBN
978-3-030-33719-3
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
13
Pages from-to
302-314
Publisher name
Springer
Place of publication
Cham
Event location
Lake Tahoe
Event date
Oct 7, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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