Texture Quality Criteria Comparison

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00574371" target="_blank" >RIV/67985556:_____/23:00574371 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICASSPW59220.2023.10193606" target="_blank" >http://dx.doi.org/10.1109/ICASSPW59220.2023.10193606</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICASSPW59220.2023.10193606" target="_blank" >10.1109/ICASSPW59220.2023.10193606</a>

Result language
angličtina
Original language name
Texture Quality Criteria Comparison
Original language description
Visual scene recognition or modeling predominantly uses visual textures representing an object's material properties. However, the single material texture varies in scale and illumination angles due to mapping an object's shape. We present a comparative study of thirteen possible texture quality criteria and show the superior performance of two multispectral measures derived from the Markovian descriptive model.
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
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW 2023)
ISBN
979-8-3503-0262-2
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
7101
Publisher name
IEEE
Place of publication
Piscataway
Event location
Rhodes
Event date
Jun 4, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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