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International Conference on Biometrics

ICB 2009: Advances in Biometrics pp 151–160Cite as

A Confidence-Based Update Rule for Self-updating Human Face Recognition Systems

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 5558)

Abstract

The aim of this paper is to present an automatic update rule to make a face recognition system adapt itself to the continuously changing appearance of users. The main idea is that every time the system interacts with a user, it adapts itself to include his or her current appearance, and thus, it always stays up-to-date. We propose a novel quality measure, which is used to decide whether the information just learnt from a user can be used to aggregate to what the system already knows. In the absence of databases that suit our needs, we present a publicly available database with 14,279 images of 35 users and 74 impostors acquired in a span of 5 months. Experiments on this database show that the proposed measure is adequate for a system to learn the current appearance of users in a non-supervised manner.

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Authors and Affiliations

  1. Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Information & Communications Technologies Department, Universitat Pompeu Fabra, Pg. Circumvallacio 8, Barcelona, 08003, Spain

    Sri-Kaushik Pavani, Federico M. Sukno, Constantine Butakoff, Xavier Planes & Alejandro F. Frangi

  2. Networking Biomedical Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain

    Sri-Kaushik Pavani, Federico M. Sukno, Constantine Butakoff, Xavier Planes & Alejandro F. Frangi

Authors
  1. Sri-Kaushik Pavani
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  2. Federico M. Sukno
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  3. Constantine Butakoff
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  4. Xavier Planes
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  5. Alejandro F. Frangi
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Editor information

Editors and Affiliations

  1. Computer Vision Laboratory, Facoltà di Architettura di Alghero, Dipartimento di Architettura e Pianificazione (DAP), Università di Sassari, Palazzo del Pou Salit, Piazza Duomo 6, 07041, Alghero (SS), Italy

    Massimo Tistarelli

  2. School of Electronics and Computer Science, University of Southampton, SO17 1BJ, Southampton, UK

    Mark S. Nixon

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© 2009 Springer-Verlag Berlin Heidelberg

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Pavani, SK., Sukno, F.M., Butakoff, C., Planes, X., Frangi, A.F. (2009). A Confidence-Based Update Rule for Self-updating Human Face Recognition Systems. In: Tistarelli, M., Nixon, M.S. (eds) Advances in Biometrics. ICB 2009. Lecture Notes in Computer Science, vol 5558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01793-3_16

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  • DOI: https://doi.org/10.1007/978-3-642-01793-3_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01792-6

  • Online ISBN: 978-3-642-01793-3

  • eBook Packages: Computer ScienceComputer Science (R0)