Can facial uniqueness be inferred from impostor scores?

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    Abstract

    In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of image quality variations like pose, noise and blur. We also experimentally demonstrate the instability of a recently introduced impostor-based uniqueness measure of [Klare and Jain 2013] when subject to poor quality facial images.
    Original languageUndefined
    Title of host publicationBiometric Technologies in Forensic Science, BTFS 2013
    Place of PublicationNijmegen
    PublisherCentre for Language and Speech Technology, Radboud University
    Pages-
    Number of pages6
    ISBN (Print)not assigned
    Publication statusPublished - Oct 2013

    Publication series

    Name
    PublisherCentre for Language and Speech Technology, Radboud University

    Keywords

    • EC Grant Agreement nr.: FP7-PEOPLE-ITN-2008
    • SCS-Safety
    • facial uniqueness
    • IR-87561
    • EWI-23857
    • Image quality
    • METIS-300102
    • impostor based uniqueness measure

    Cite this

    Dutta, A., Veldhuis, R. N. J., & Spreeuwers, L. J. (2013). Can facial uniqueness be inferred from impostor scores? In Biometric Technologies in Forensic Science, BTFS 2013 (pp. -). Nijmegen: Centre for Language and Speech Technology, Radboud University.
    Dutta, A. ; Veldhuis, Raymond N.J. ; Spreeuwers, Lieuwe Jan. / Can facial uniqueness be inferred from impostor scores?. Biometric Technologies in Forensic Science, BTFS 2013. Nijmegen : Centre for Language and Speech Technology, Radboud University, 2013. pp. -
    @inproceedings{b7510461053d4e3ebb5d21438ec3935a,
    title = "Can facial uniqueness be inferred from impostor scores?",
    abstract = "In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of image quality variations like pose, noise and blur. We also experimentally demonstrate the instability of a recently introduced impostor-based uniqueness measure of [Klare and Jain 2013] when subject to poor quality facial images.",
    keywords = "EC Grant Agreement nr.: FP7-PEOPLE-ITN-2008, SCS-Safety, facial uniqueness, IR-87561, EWI-23857, Image quality, METIS-300102, impostor based uniqueness measure",
    author = "A. Dutta and Veldhuis, {Raymond N.J.} and Spreeuwers, {Lieuwe Jan}",
    note = "http://cls.ru.nl/staff/dvleeuwen/btfs-2013/dutta-btfs2013.pdf",
    year = "2013",
    month = "10",
    language = "Undefined",
    isbn = "not assigned",
    publisher = "Centre for Language and Speech Technology, Radboud University",
    pages = "--",
    booktitle = "Biometric Technologies in Forensic Science, BTFS 2013",

    }

    Dutta, A, Veldhuis, RNJ & Spreeuwers, LJ 2013, Can facial uniqueness be inferred from impostor scores? in Biometric Technologies in Forensic Science, BTFS 2013. Centre for Language and Speech Technology, Radboud University, Nijmegen, pp. -.

    Can facial uniqueness be inferred from impostor scores? / Dutta, A.; Veldhuis, Raymond N.J.; Spreeuwers, Lieuwe Jan.

    Biometric Technologies in Forensic Science, BTFS 2013. Nijmegen : Centre for Language and Speech Technology, Radboud University, 2013. p. -.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    TY - GEN

    T1 - Can facial uniqueness be inferred from impostor scores?

    AU - Dutta, A.

    AU - Veldhuis, Raymond N.J.

    AU - Spreeuwers, Lieuwe Jan

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    PY - 2013/10

    Y1 - 2013/10

    N2 - In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of image quality variations like pose, noise and blur. We also experimentally demonstrate the instability of a recently introduced impostor-based uniqueness measure of [Klare and Jain 2013] when subject to poor quality facial images.

    AB - In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of image quality variations like pose, noise and blur. We also experimentally demonstrate the instability of a recently introduced impostor-based uniqueness measure of [Klare and Jain 2013] when subject to poor quality facial images.

    KW - EC Grant Agreement nr.: FP7-PEOPLE-ITN-2008

    KW - SCS-Safety

    KW - facial uniqueness

    KW - IR-87561

    KW - EWI-23857

    KW - Image quality

    KW - METIS-300102

    KW - impostor based uniqueness measure

    M3 - Conference contribution

    SN - not assigned

    SP - -

    BT - Biometric Technologies in Forensic Science, BTFS 2013

    PB - Centre for Language and Speech Technology, Radboud University

    CY - Nijmegen

    ER -

    Dutta A, Veldhuis RNJ, Spreeuwers LJ. Can facial uniqueness be inferred from impostor scores? In Biometric Technologies in Forensic Science, BTFS 2013. Nijmegen: Centre for Language and Speech Technology, Radboud University. 2013. p. -