Publication result detail

3D Face Recognition on Low-Cost Depth Sensors

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

Original Title

3D Face Recognition on Low-Cost Depth Sensors

English Title

3D Face Recognition on Low-Cost Depth Sensors

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

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

RIV year

2015

Released

10.09.2014

Publisher

GI - Group for computer science

Location

Darmstadt

ISBN

978-3-88579-624-4

Book

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

ISBN

1617-5468

Periodical

GI-Edition Lecture Notes in Informatics (LNI)

Volume

2014

Number

230

State

Federal Republic of Germany

Pages from

195

Pages to

202

Pages count

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/"
}

Documents

lowCost