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Authors: Javier Galbally and Riccardo Satta

Affiliation: IPSC, Italy

ISBN: 978-989-758-173-1

Keyword(s): 3D Face Recognition, Interoperability, 3D Face Database.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Classification ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Telecommunications ; Theory and Methods

Abstract: Biometric systems typically suffer a significant loss of performance when the acquisition sensor is changed between enrolment and authentication. Such a problem, commonly known as sensor interoperability, poses a serious challenge to the accuracy of matching algorithms. The present work addresses for the first time the sensor interoperability issue in 3D face recognition systems, analysing the performance of two popular and well known techniques for 3D facial authentication. For this purpose, a new gender-balanced database comprising 3D data of 26 subjects has been acquired using two devices belonging to the new generation of low-cost 3D sensors. The results show the high sensor-dependency of the tested systems and the need to develop matching algorithms robust to the variation in the sensor resolution.

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Paper citation in several formats:
Galbally, J. and Satta, R. (2016). Biometric Sensor Interoperability: A Case Study in 3D Face Recognition.In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 199-204. DOI: 10.5220/0005682501990204

@conference{icpram16,
author={Javier Galbally. and Riccardo Satta.},
title={Biometric Sensor Interoperability: A Case Study in 3D Face Recognition},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={199-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005682501990204},
isbn={978-989-758-173-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Biometric Sensor Interoperability: A Case Study in 3D Face Recognition
SN - 978-989-758-173-1
AU - Galbally, J.
AU - Satta, R.
PY - 2016
SP - 199
EP - 204
DO - 10.5220/0005682501990204

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