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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. (en)
Title
  • Hierarchical energy-transfer features
  • Hierarchical energy-transfer features (en)
skos:prefLabel
  • Hierarchical energy-transfer features
  • Hierarchical energy-transfer features (en)
skos:notation
  • RIV/61989100:27240/14:86092996!RIV15-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 19034
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/14:86092996
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • SVM; recognition; object detection; image descriptors; feature selection (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F83BD90E59D8]
http://linked.open...v/mistoKonaniAkce
  • Angers
http://linked.open...i/riv/mistoVydani
  • [Portugalsko]
http://linked.open...i/riv/nazevZdroje
  • ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Fusek, Radovan
  • Mozdřeň, Karel
  • Sojka, Eduard
  • Šurkala, Milan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.5220/0004829506950702
http://purl.org/ne...btex#hasPublisher
  • SciTePress - Science and Technology Publications
https://schema.org/isbn
  • 978-989-758-018-5
http://localhost/t...ganizacniJednotka
  • 27240
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