Publication Details

Inspired by Bertillon - Recognition Based on Anatomical Features from 3D Face Scans

MRÁČEK, Š.; BUSCH, C.; DVOŘÁK, R.; DRAHANSKÝ, M. Inspired by Bertillon - Recognition Based on Anatomical Features from 3D Face Scans. In Proceedings of the 3rd International Workshop on Security and Communication Networks. Gjovik: Gjovik University College, 2011. p. 53-58. ISBN: 978-82-91313-67-2.
Czech title
Rozpoznávání obličejů založené na anatomických rysech
Type
conference paper
Language
English
Authors
Mráček Štěpán, Ing., Ph.D.
Busch Christoph, Prof. Dr.
Dvořák Radim, Ing., Ph.D.
Drahanský Martin, prof. Ing., Ph.D.
Keywords

Biometry, Anthropometry, Face Recognition, FRGC, 3D Face

Abstract

We present an automatic 3D face recognition algorithm that is inspired by Alphonse Bertillon's anthropometry. Our recognition pipeline consists of several steps. First, the facial landmarks such as the tip of the nose or the inner eye corners are detected. Subsequently the head rotation is compensated during the orientation normalization process. The facial features are extracted by performing 61 different measures. We also present a feature evaluation function that rates individual components of the feature vector. Finally, our results are compared with two other 3D face recognition methods. We show that the multi-algorithmic system consisting of the anatomical-based recognition together with the eigenfaces method and the recognition using histogram-based features reaches significantly better results than any of the employed methods individually.

Annotation

We present an automatic 3D face recognition algorithm that is inspired by Alphonse Bertillon's anthropometry. Our recognition pipeline consists of several steps. First, the facial landmarks such as the tip of the nose or the inner eye corners are detected. Subsequently the head rotation is compensated during the orientation normalization process. The facial features are extracted by performing 61 different measures. We also present a feature evaluation function that rates individual components of the feature vector. Finally, our results are compared with two other 3D face recognition methods. We show that the multi-algorithmic system consisting of the anatomical-based recognition together with the eigenfaces method and the recognition using histogram-based features reaches significantly better results than any of the employed methods individually.

Published
2011
Pages
53–58
Proceedings
Proceedings of the 3rd International Workshop on Security and Communication Networks
ISBN
978-82-91313-67-2
Publisher
Gjovik University College
Place
Gjovik
DOI
UT WoS
000397201800008
EID Scopus
BibTeX
@inproceedings{BUT76406,
  author="Štěpán {Mráček} and Christoph {Busch} and Radim {Dvořák} and Martin {Drahanský}",
  title="Inspired by Bertillon - Recognition Based on Anatomical Features from 3D Face Scans",
  booktitle="Proceedings of the 3rd International Workshop on Security and Communication Networks",
  year="2011",
  pages="53--58",
  publisher="Gjovik University College",
  address="Gjovik",
  doi="10.1109/IWSCN.2011.6827717",
  isbn="978-82-91313-67-2"
}
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