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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F11%3APU97863%21RIV12-MSM-26230___
rdf:type
skos:Concept n11:Vysledek
dcterms:description
This work is about biometric 3D face recognition. General biometric systems as well as specific techniques used in 2D and 3D face recognition are described. An automatic modular 3D face recognition method is proposed. First, facial landmarks are located on the face surface and the three dimensional model is aligned to a predefined position. After that, the input probe scan is compared to the gallery template. There are three fundamental face recognition algorithms employed during this process - the eigenface method (PCA), the recognition using histogram-based features, and the recognition based on the anatomical-Bertillon face features. The decision module fuses the scores provided by the utilized recognition techniques finally. The resulting performance is better than any of utilized recognition algorithms. This work is about biometric 3D face recognition. General biometric systems as well as specific techniques used in 2D and 3D face recognition are described. An automatic modular 3D face recognition method is proposed. First, facial landmarks are located on the face surface and the three dimensional model is aligned to a predefined position. After that, the input probe scan is compared to the gallery template. There are three fundamental face recognition algorithms employed during this process - the eigenface method (PCA), the recognition using histogram-based features, and the recognition based on the anatomical-Bertillon face features. The decision module fuses the scores provided by the utilized recognition techniques finally. The resulting performance is better than any of utilized recognition algorithms.
dcterms:title
3D Face Recognition 3D Face Recognition
skos:prefLabel
3D Face Recognition 3D Face Recognition
skos:notation
RIV/00216305:26230/11:PU97863!RIV12-MSM-26230___
n11:predkladatel
n13:orjk%3A26230
n3:aktivita
n14:S n14:P n14:Z
n3:aktivity
P(ED1.1.00/02.0070), P(GD102/09/H083), S, Z(MSM0021630528)
n3:dodaniDat
n18:2012
n3:domaciTvurceVysledku
n15:9852441
n3:druhVysledku
n8:B
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
244076
n3:idVysledku
RIV/00216305:26230/11:PU97863
n3:jazykVysledku
n22:eng
n3:klicovaSlova
Biometrics, Face Recognition, 3D Face
n3:klicoveSlovo
n4:Face%20Recognition n4:3D%20Face n4:Biometrics
n3:kontrolniKodProRIV
[9B0C5B00363A]
n3:mistoVydani
Saarbrücken
n3:nazevEdiceCisloSvazku
NEUVEDEN
n3:nazevZdroje
3D Face Recognition
n3:obor
n12:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetStranKnihy
81
n3:pocetTvurcuVysledku
1
n3:projekt
n16:ED1.1.00%2F02.0070 n16:GD102%2F09%2FH083
n3:rokUplatneniVysledku
n18:2011
n3:tvurceVysledku
Mráček, Štěpán
n3:zamer
n17:MSM0021630528
s:numberOfPages
81
n7:hasPublisher
Lambert Academic Publishing
n5:isbn
978-3-8465-4450-1
n21:organizacniJednotka
26230