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rdf:type
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Description
| - 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)
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Title
| - 3D Face Recognition on Low-Cost Depth Sensors
- 3D Face Recognition on Low-Cost Depth Sensors (en)
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skos:prefLabel
| - 3D Face Recognition on Low-Cost Depth Sensors
- 3D Face Recognition on Low-Cost Depth Sensors (en)
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skos:notation
| - RIV/00216305:26230/14:PU112031!RIV15-MV0-26230___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
| - P(ED1.1.00/02.0070), P(VG20102015006), S
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/00216305:26230/14:PU112031
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - 3D face recognition, score-level fusion, biometrics, Gabor filter, Gauss-Laguerre filter (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG 2014)
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Drahanský, Martin
- Dvořák, Radim
- Mráček, Štěpán
- Provazník, Ivo
- Váňa, Jan
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - GI - Group for computer science
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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