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Authors: David Masip 1 ; Àgata Lapedriza 2 and Jordi Vitrià 3

Affiliations: 1 Universitat Oberta de Catalunya, Spain ; 2 Universitat Autònoma de Barcelona, Spain ; 3 University of Barcelona, Spain

ISBN: 978-989-8111-21-0

Keyword(s): Face Classification, Incremental Learning, Boosting.

Abstract: Usually face classification applications suffer from two important problems: the number of training samples from each class is reduced, and the final system usually must be extended to incorporate new people to recognize. In this paper we introduce a face recognition method that extends a previous boosting-based classifier adding new classes and avoiding the need of retraining the system each time a new person joins the system. The classifier is trained using the multitask learning principle and multiple verification tasks are trained together sharing the same feature space. The new classes are added taking advantage of the previous learned structure, being the addition of new classes not computationally demanding. Our experiments with two different data sets show that the performance does not decrease drastically even when the number of classes of the base problem is multiplied by a factor of 8.

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Paper citation in several formats:
Masip D.; Lapedriza À.; Vitrià J. and (2008). MULTITASK LEARNING - An Application to Incremental Face Recognition.In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: OPRMLT, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 585-590. DOI: 10.5220/0001079205850590

@conference{oprmlt08,
author={David Masip and Àgata Lapedriza and Jordi Vitrià},
title={MULTITASK LEARNING - An Application to Incremental Face Recognition},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: OPRMLT, (VISIGRAPP 2008)},
year={2008},
pages={585-590},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001079205850590},
isbn={978-989-8111-21-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: OPRMLT, (VISIGRAPP 2008)
TI - MULTITASK LEARNING - An Application to Incremental Face Recognition
SN - 978-989-8111-21-0
AU - Masip, D.
AU - Lapedriza, À.
AU - Vitrià, J.
PY - 2008
SP - 585
EP - 590
DO - 10.5220/0001079205850590

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