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
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.
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