Hierarchical energy-transfer features

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Hierarchical energy-transfer features

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Hierarchical energy-transfer features

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

ISBN

978-989-758-018-5

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

695-702

Název nakladatele

SciTePress - Science and Technology Publications

Místo vydání

[Portugalsko]

Místo konání akce

Angers

Datum konání akce

6. 3. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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