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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

    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