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Description
  • This paper describes the 3D face recognition algorithm that is based on the hierarchical score-level fusion classifiers. In a simple (unimodal) biometric pipeline, the feature vector is extracted from the input data and subsequently compared with the template stored in the database. In our approach, we utilize several feature extraction algorithms. We use 6 different image representations of the input 3D face data. Moreover, we are using Gabor and Gauss-Laguerre filter banks applied on the input image data that yield to 12 resulting feature vectors. Each representation is compared with corresponding counterpart from the biometric database. We also add the recognition based on the iso-geodesic curves. The final score-level fusion is performed on 13 comparison scores using the Support Vector Machine (SVM) classifier.
  • This paper describes the 3D face recognition algorithm that is based on the hierarchical score-level fusion classifiers. In a simple (unimodal) biometric pipeline, the feature vector is extracted from the input data and subsequently compared with the template stored in the database. In our approach, we utilize several feature extraction algorithms. We use 6 different image representations of the input 3D face data. Moreover, we are using Gabor and Gauss-Laguerre filter banks applied on the input image data that yield to 12 resulting feature vectors. Each representation is compared with corresponding counterpart from the biometric database. We also add the recognition based on the iso-geodesic curves. The final score-level fusion is performed on 13 comparison scores using the Support Vector Machine (SVM) classifier. (en)
Title
  • 3D face recognition based on the hierarchical score-level fusion classifiers
  • 3D face recognition based on the hierarchical score-level fusion classifiers (en)
skos:prefLabel
  • 3D face recognition based on the hierarchical score-level fusion classifiers
  • 3D face recognition based on the hierarchical score-level fusion classifiers (en)
skos:notation
  • RIV/00216305:26230/14:PU111938!RIV15-MV0-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(VG20102015006)
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
  • 58212
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/14:PU111938
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • 3D face, score-level fusion, classifier, biometrics, recognition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4274871279B2]
http://linked.open...v/mistoKonaniAkce
  • Baltimore
http://linked.open...i/riv/mistoVydani
  • Baltimore
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Biometric and Surveillance Technology for Human and Activity Identification XI, Vol. 9075
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Doležel, Michal
  • Drahanský, Martin
  • Mráček, Štěpán
  • Váňa, Jan
  • Lankašová, Karolína
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1117/12.2050547
http://purl.org/ne...btex#hasPublisher
  • SPIE - the international society for optics and photonics
https://schema.org/isbn
  • 978-1-62841-012-9
http://localhost/t...ganizacniJednotka
  • 26230
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