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Authors: Catherine Herold 1 ; Vincent Despiegel 2 ; Stéphane Gentric 2 ; Séverine Dubuisson 3 and Isabelle Bloch 4

Affiliations: 1 Identity & Security Alliance (The Morpho and Telecom ParisTech Research Center), Morpho, Safran Group, CNRS LTCI and UPMC Sorbonne Universités, France ; 2 Identity & Security Alliance (The Morpho and Telecom ParisTech Research Center), Morpho and Safran Group, France ; 3 UPMC Sorbonne Universités, France ; 4 Identity & Security Alliance (The Morpho and Telecom ParisTech Research Center) and CNRS LTCI, France

ISBN: 978-989-758-009-3

Keyword(s): 3D Face Reconstruction, Metrics, Evaluation Protocol, Comparison of Acquisition System Configurations.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: Automatic face recognition has been integrated in many systems thanks to the improvement of face comparison algorithms. One of the main applications using facial biometry is the identity authentication at border control, which has already been adopted by a lot of airports. In order to proceed to a fast identity control, gates have been developed, to extract the ID document information on the one hand, and to acquire the facial information of the user on the other hand. The design of such gates, and in particular their camera configuration, has a high impact on the output acquisitions and therefore on the quality of the extracted facial features. Since it is very difficult to validate such gates by testing different configurations on real data in exactly the same conditions, we propose a validation protocol based on simulated passages. This method relies on synthetic sequences, which can be generated using any camera configuration with fixed parameters of identities and poses, and can also integrate different lighting conditions. We detail this methodology and present results in terms of geometrical error obtained with different camera configurations, illustrating the impact of the gate design on the 3D head fitting accuracy, and hence on facial authentication performances. (More)

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Paper citation in several formats:
Herold, C.; Despiegel, V.; Gentric, .; Dubuisson, S. and Bloch, I. (2014). 3D Head Model Fitting Evaluation Protocol on Synthetic Databases for Acquisition System Comparison.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 296-305. DOI: 10.5220/0004670502960305

@conference{visapp14,
author={Catherine Herold. and Vincent Despiegel. and Stéphane Gentric. and Séverine Dubuisson. and Isabelle Bloch.},
title={3D Head Model Fitting Evaluation Protocol on Synthetic Databases for Acquisition System Comparison},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={296-305},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004670502960305},
isbn={978-989-758-009-3},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - 3D Head Model Fitting Evaluation Protocol on Synthetic Databases for Acquisition System Comparison
SN - 978-989-758-009-3
AU - Herold, C.
AU - Despiegel, V.
AU - Gentric, .
AU - Dubuisson, S.
AU - Bloch, I.
PY - 2014
SP - 296
EP - 305
DO - 10.5220/0004670502960305

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