Detail publikace

3D face recognition based on the hierarchical score-level fusion classifiers

MRÁČEK, Š. VÁŇA, J. KUPKOVÁ, K. DRAHANSKÝ, M. DOLEŽEL, M.

Originální název

3D face recognition based on the hierarchical score-level fusion classifiers

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper describes the 3D face recognition algorithm that is based on the hierarchical score-level fusion classifiers. In a simple (unimodal) biometric pipeline, the feature vector is extracted from the input data and subsequently compared with the template stored in the database. In our approach, we utilize several feature extraction algorithms. We use 6 different image representations of the input 3D face data. Moreover, we are using Gabor and Gauss-Laguerre filter banks applied on the input image data that yield to 12 resulting feature vectors. Each representation is compared with corresponding counterpart from the biometric database. We also add the recognition based on the iso-geodesic curves. The final score-level fusion is performed on 13 comparison scores using the Support Vector Machine (SVM) classifier.

Klíčová slova

3D face, score-level fusion, classifier, biometrics, recognition

Autoři

MRÁČEK, Š.; VÁŇA, J.; KUPKOVÁ, K.; DRAHANSKÝ, M.; DOLEŽEL, M.

Rok RIV

2014

Vydáno

6. 6. 2014

Nakladatel

SPIE - the international society for optics and photonics

Místo

Baltimore

ISBN

978-1-62841-012-9

Kniha

Proceedings of Biometric and Surveillance Technology for Human and Activity Identification XI, Vol. 9075

Strany od

1

Strany do

12

Strany počet

12

URL

BibTex

@inproceedings{BUT111533,
  author="Štěpán {Mráček} and Jan {Váňa} and Karolína {Kupková} and Martin {Drahanský} and Michal {Doležel}",
  title="3D face recognition based on the hierarchical score-level fusion classifiers",
  booktitle="Proceedings of Biometric and Surveillance Technology for Human and Activity Identification XI, Vol. 9075",
  year="2014",
  pages="1--12",
  publisher="SPIE - the international society for optics and photonics",
  address="Baltimore",
  doi="10.1117/12.2050547",
  isbn="978-1-62841-012-9",
  url="http://spie.org/Publications/Proceedings/Paper/10.1117/12.2050547"
}