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MRÁČEK, Š. VÁŇA, J. KUPKOVÁ, K. DRAHANSKÝ, M. DOLEŽEL, M.
Original Title
3D face recognition based on the hierarchical score-level fusion classifiers
Type
conference paper
Language
English
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.
Keywords
3D face, score-level fusion, classifier, biometrics, recognition
Authors
MRÁČEK, Š.; VÁŇA, J.; KUPKOVÁ, K.; DRAHANSKÝ, M.; DOLEŽEL, M.
RIV year
2014
Released
6. 6. 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
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" }