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Hierarchical energy-transfer features

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092996" target="_blank" >RIV/61989100:27240/14:86092996 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=Aav/m667xjQ=&t=1" target="_blank" >http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=Aav/m667xjQ=&t=1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5220/0004829506950702" target="_blank" >10.5220/0004829506950702</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Hierarchical energy-transfer features

  • Original language description

    In the paper, we propose the novel and efficient object descriptors that are designed to describe the appearance of the objects. The descriptors are called as Hierarchical Energy-Transfer Features (HETF). The main idea behind HETF is that the shape of the objects can be described by the function of energy distribution. In the image, the transfer of energy is solved by making use of physical laws. The function of the energy distribution is obtained by sampling, after the energy transfer process; the image is divided into the cells of variable sizes and the values of the function is investigated inside each cell. The proposed descriptors achieved very good detection results compared with the state-of-the-art methods (e.g. Haar, HOG, LBP features). We show the robustness of the descriptors for solving the face detection problem.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods

  • ISBN

    978-989-758-018-5

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    695-702

  • Publisher name

    SciTePress - Science and Technology Publications

  • Place of publication

    [Portugalsko]

  • Event location

    Angers

  • Event date

    Mar 6, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article