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  • This paper deals with the biometric recognition of 3D faces with the emphasis on the low-cost depth sensors; such are Microsoft Kinect and SoftKinetic DS325. The presented approach is based on the score-level fusion of individual recognition units. Each unit processes the input face mesh and produces a curvature, depth, or texture representation. This image representation is further processed by specific Gabor or Gauss-Laguerre complex filter. The absolute response is then projected to lower-dimension representations and the feature vector is thus extracted. Comparison scores of individual recognition units are combined using transformation-based, classifier-based, or density-based score-level fusion. The results suggest that even poor quality low-resolution scans containing holes and noise might be successfully used for recognition in relatively small databases.
  • This paper deals with the biometric recognition of 3D faces with the emphasis on the low-cost depth sensors; such are Microsoft Kinect and SoftKinetic DS325. The presented approach is based on the score-level fusion of individual recognition units. Each unit processes the input face mesh and produces a curvature, depth, or texture representation. This image representation is further processed by specific Gabor or Gauss-Laguerre complex filter. The absolute response is then projected to lower-dimension representations and the feature vector is thus extracted. Comparison scores of individual recognition units are combined using transformation-based, classifier-based, or density-based score-level fusion. The results suggest that even poor quality low-resolution scans containing holes and noise might be successfully used for recognition in relatively small databases. (en)
Title
  • 3D Face Recognition on Low-Cost Depth Sensors
  • 3D Face Recognition on Low-Cost Depth Sensors (en)
skos:prefLabel
  • 3D Face Recognition on Low-Cost Depth Sensors
  • 3D Face Recognition on Low-Cost Depth Sensors (en)
skos:notation
  • RIV/00216305:26230/14:PU112031!RIV15-MV0-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), P(VG20102015006), 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
  • 58213
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/14:PU112031
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • 3D face recognition, score-level fusion, biometrics, Gabor filter, Gauss-Laguerre filter (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E974D38AC1F9]
http://linked.open...v/mistoKonaniAkce
  • Darmstadt
http://linked.open...i/riv/mistoVydani
  • Darmstadt
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG 2014)
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
  • Drahanský, Martin
  • Dvořák, Radim
  • Mráček, Štěpán
  • Provazník, Ivo
  • Váňa, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • GI - Group for computer science
https://schema.org/isbn
  • 978-3-88579-624-4
http://localhost/t...ganizacniJednotka
  • 26230
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