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Statements

Subject Item
n2:RIV%2F61989100%3A27240%2F14%3A86092996%21RIV15-MSM-27240___
rdf:type
n16:Vysledek skos:Concept
rdfs:seeAlso
http://www.scopus.com/inward/record.url?eid=2-s2.0-84902310696&partnerID=40&md5=f26d700588b427290f594826fbfda512
dcterms: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. 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.
dcterms:title
Hierarchical energy-transfer features Hierarchical energy-transfer features
skos:prefLabel
Hierarchical energy-transfer features Hierarchical energy-transfer features
skos:notation
RIV/61989100:27240/14:86092996!RIV15-MSM-27240___
n3:aktivita
n8:S
n3:aktivity
S
n3:dodaniDat
n20:2015
n3:domaciTvurceVysledku
n6:3014622 n6:4899423 n6:9112995 n6:5185297
n3:druhVysledku
n15:D
n3:duvernostUdaju
n21:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
19034
n3:idVysledku
RIV/61989100:27240/14:86092996
n3:jazykVysledku
n17:eng
n3:klicovaSlova
SVM; recognition; object detection; image descriptors; feature selection
n3:klicoveSlovo
n5:recognition n5:object%20detection n5:SVM n5:image%20descriptors n5:feature%20selection
n3:kontrolniKodProRIV
[F83BD90E59D8]
n3:mistoKonaniAkce
Angers
n3:mistoVydani
[Portugalsko]
n3:nazevZdroje
ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
4
n3:rokUplatneniVysledku
n20:2014
n3:tvurceVysledku
Sojka, Eduard Fusek, Radovan Mozdřeň, Karel Šurkala, Milan
n3:typAkce
n22:WRD
n3:zahajeniAkce
2014-03-06+01:00
s:numberOfPages
8
n10:doi
10.5220/0004829506950702
n18:hasPublisher
SciTePress - Science and Technology Publications
n19:isbn
978-989-758-018-5
n14:organizacniJednotka
27240