Publication result detail

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

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

Original Title

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

English Title

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

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

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

Key words in English

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

Authors

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

RIV year

2015

Released

06.06.2014

Publisher

SPIE - the international society for optics and photonics

Location

Baltimore

ISBN

978-1-62841-012-9

Book

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

Pages from

1

Pages to

12

Pages count

12

URL

http://spie.org/Publications/Proceedings/Paper/10.1117/12.2050547

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"
}