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  • We present an automatic 3D face recognition algorithm that is inspired by Alphonse Bertillon's anthropometry. Our recognition pipeline consists of several steps. First, the facial landmarks such as the tip of the nose or the inner eye corners are detected. Subsequently the head rotation is compensated during the orientation normalization process. The facial features are extracted by performing 61 different measures. We also present a feature evaluation function that rates individual components of the feature vector. Finally, our results are compared with two other 3D face recognition methods. We show that the multi-algorithmic system consisting of the anatomical-based recognition together with the eigenfaces method and the recognition using histogram-based features reaches significantly better results than any of the employed methods individually.
  • We present an automatic 3D face recognition algorithm that is inspired by Alphonse Bertillon's anthropometry. Our recognition pipeline consists of several steps. First, the facial landmarks such as the tip of the nose or the inner eye corners are detected. Subsequently the head rotation is compensated during the orientation normalization process. The facial features are extracted by performing 61 different measures. We also present a feature evaluation function that rates individual components of the feature vector. Finally, our results are compared with two other 3D face recognition methods. We show that the multi-algorithmic system consisting of the anatomical-based recognition together with the eigenfaces method and the recognition using histogram-based features reaches significantly better results than any of the employed methods individually. (en)
Title
  • Inspired by Bertillon - Recognition Based on Anatomical Features from 3D Face Scans
  • Inspired by Bertillon - Recognition Based on Anatomical Features from 3D Face Scans (en)
skos:prefLabel
  • Inspired by Bertillon - Recognition Based on Anatomical Features from 3D Face Scans
  • Inspired by Bertillon - Recognition Based on Anatomical Features from 3D Face Scans (en)
skos:notation
  • RIV/00216305:26230/11:PU96114!RIV12-MSM-26230___
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
  • 205050
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU96114
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Biometry, Anthropometry, Face Recognition, FRGC, 3D Face (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F568F17C7D2A]
http://linked.open...v/mistoKonaniAkce
  • Gjovik
http://linked.open...i/riv/mistoVydani
  • Gjovik
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 3rd International Workshop on Security and Communication Networks
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Drahanský, Martin
  • Dvořák, Radim
  • Mráček, Štěpán
  • Busch, Christoph
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Gjovik University College
https://schema.org/isbn
  • 978-82-91313-67-2
http://localhost/t...ganizacniJednotka
  • 26230
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