Face Templates Creation for Surveillance Face Recognition System

Tobias Malach, Jiri Prinosil

Abstract

This paper addresses the problem of face templates creation for facial recognition system. The application of a face recognition system in real-world conditions requires compact and representative face templates in order to maintain low error rate and low classification time. Contemporary face template creation methods are not suitable for face recognition systems with large number of users as they produce many templates per person. These templates are often redundant and their high number requires long classification time. The paper presents four approaches to face templates creation that produce one to three face templates per person. The influence of different face template creation approaches was assessed on PubFig and IFaViD database. The achieved results show that appropriate face template creation methods have a significant influence on face recognition system performance.

References

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Paper Citation


in Harvard Style

Malach T. and Prinosil J. (2014). Face Templates Creation for Surveillance Face Recognition System . In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 724-729. DOI: 10.5220/0004906307240729


in Bibtex Style

@conference{icpram14,
author={Tobias Malach and Jiri Prinosil},
title={Face Templates Creation for Surveillance Face Recognition System},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={724-729},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004906307240729},
isbn={978-989-758-018-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Face Templates Creation for Surveillance Face Recognition System
SN - 978-989-758-018-5
AU - Malach T.
AU - Prinosil J.
PY - 2014
SP - 724
EP - 729
DO - 10.5220/0004906307240729