Texture Quality Criteria Comparison
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00367724" target="_blank" >RIV/68407700:21240/23:00367724 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICASSPW59220.2023.10193606" target="_blank" >https://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>
Alternative languages
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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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops
ISBN
979-8-3503-0261-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
New Jersey
Event location
Rhodes
Event date
Jun 4, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001046933700166