Color Object Retrieval Using Local Features Based on Opponent-Process Theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10389615" target="_blank" >RIV/00216208:11320/18:10389615 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-00692-1_24" target="_blank" >https://doi.org/10.1007/978-3-030-00692-1_24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-00692-1_24" target="_blank" >10.1007/978-3-030-00692-1_24</a>
Alternative languages
Result language
angličtina
Original language name
Color Object Retrieval Using Local Features Based on Opponent-Process Theory
Original language description
This paper proposes a method for extracting of the local features of the color image. As a basic model we have chosen the approach to the human visual system using chromatic opponent channels and the SIFT (Scalable Invariant Feature Transform) method. We also propose a new methods for the validation of the keypoint pairing utilizing the keypoint orientation consistency check.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computer Vision and Graphics
ISBN
978-3-030-00691-4
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
12
Pages from-to
275-286
Publisher name
Springer Nature
Place of publication
Cham, Switzerland
Event location
Warsaw, Poland
Event date
Sep 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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