Detail publikačního výsledku

3D Face Recognition on Low-Cost Depth Sensors

MRÁČEK, Š.; DRAHANSKÝ, M.; DVOŘÁK, R.; PROVAZNÍK, V.; VÁŇA, J.

Originální název

3D Face Recognition on Low-Cost Depth Sensors

Anglický název

3D Face Recognition on Low-Cost Depth Sensors

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

3D face recognition, score-level fusion, biometrics, Gabor filter, Gauss-Laguerre filter

Klíčová slova v angličtině

3D face recognition, score-level fusion, biometrics, Gabor filter, Gauss-Laguerre filter

Autoři

MRÁČEK, Š.; DRAHANSKÝ, M.; DVOŘÁK, R.; PROVAZNÍK, V.; VÁŇA, J.

Rok RIV

2015

Vydáno

10.09.2014

Nakladatel

GI - Group for computer science

Místo

Darmstadt

ISBN

978-3-88579-624-4

Kniha

Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG 2014)

ISSN

1617-5468

Periodikum

GI-Edition Lecture Notes in Informatics (LNI)

Svazek

2014

Číslo

230

Stát

Spolková republika Německo

Strany od

195

Strany do

202

Strany počet

8

URL

https://www.fit.vut.cz/research/publication/10679/

BibTex

@inproceedings{BUT111626,
  author="Štěpán {Mráček} and Martin {Drahanský} and Radim {Dvořák} and Valentýna {Provazník} and Jan {Váňa}",
  title="3D Face Recognition on Low-Cost Depth Sensors",
  booktitle="Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG 2014)",
  year="2014",
  journal="GI-Edition Lecture Notes in Informatics (LNI)",
  volume="2014",
  number="230",
  pages="195--202",
  publisher="GI - Group for computer science",
  address="Darmstadt",
  isbn="978-3-88579-624-4",
  issn="1617-5468",
  url="https://www.fit.vut.cz/research/publication/10679/"
}

Dokumenty

lowCost