Detail publikace

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

MRÁČEK, Š. BUSCH, C. DVOŘÁK, R. DRAHANSKÝ, M.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

MRÁČEK, Š.; BUSCH, C.; DVOŘÁK, R.; DRAHANSKÝ, M.

Rok RIV

2011

Vydáno

18. 5. 2011

Nakladatel

Gjovik University College

Místo

Gjovik

ISBN

978-82-91313-67-2

Kniha

Proceedings of the 3rd International Workshop on Security and Communication Networks

Strany od

53

Strany do

58

Strany počet

6

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"
}