Likelihood Ratio Based Mixed Resolution Facial Comparison

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

    6 Citations (Scopus)
    36 Downloads (Pure)

    Abstract

    In this paper, we propose a novel method for low-resolution face recognition. It is especially useful for a common situation in forensic search where faces of low resolution, e.g. on surveillance footage or in a crowd, must be compared to a high-resolution reference. This method is based on the likelihood ratio of a pair of mixed-resolution input images. The effectiveness of our method is tested on the SCface database which contains face images taken by surveillance cameras. The results show that our method outperforms recently published state-of-the-art.
    Original languageUndefined
    Title of host publicationProceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Pages1-5
    Number of pages5
    ISBN (Print)978-1-4799-8105-2
    DOIs
    Publication statusPublished - 3 Mar 2015

    Publication series

    Name
    PublisherIEEE Computer Society

    Keywords

    • EWI-26033
    • SCS-Safety
    • mixed resolution
    • METIS-312620
    • Face Recognition
    • SCface
    • Low Resolution
    • IR-95949

    Cite this

    Peng, Y., Spreeuwers, L. J., & Veldhuis, R. N. J. (2015). Likelihood Ratio Based Mixed Resolution Facial Comparison. In Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015 (pp. 1-5). USA: IEEE Computer Society. https://doi.org/10.1109/IWBF.2015.7110231
    Peng, Y. ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. / Likelihood Ratio Based Mixed Resolution Facial Comparison. Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. USA : IEEE Computer Society, 2015. pp. 1-5
    @inproceedings{cce49ed0fb874e878677a5f165314eb2,
    title = "Likelihood Ratio Based Mixed Resolution Facial Comparison",
    abstract = "In this paper, we propose a novel method for low-resolution face recognition. It is especially useful for a common situation in forensic search where faces of low resolution, e.g. on surveillance footage or in a crowd, must be compared to a high-resolution reference. This method is based on the likelihood ratio of a pair of mixed-resolution input images. The effectiveness of our method is tested on the SCface database which contains face images taken by surveillance cameras. The results show that our method outperforms recently published state-of-the-art.",
    keywords = "EWI-26033, SCS-Safety, mixed resolution, METIS-312620, Face Recognition, SCface, Low Resolution, IR-95949",
    author = "Y. Peng and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.}",
    note = "10.1109/IWBF.2015.7110231",
    year = "2015",
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    isbn = "978-1-4799-8105-2",
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    address = "United States",

    }

    Peng, Y, Spreeuwers, LJ & Veldhuis, RNJ 2015, Likelihood Ratio Based Mixed Resolution Facial Comparison. in Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. IEEE Computer Society, USA, pp. 1-5. https://doi.org/10.1109/IWBF.2015.7110231

    Likelihood Ratio Based Mixed Resolution Facial Comparison. / Peng, Y.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.

    Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. USA : IEEE Computer Society, 2015. p. 1-5.

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

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    PY - 2015/3/3

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    N2 - In this paper, we propose a novel method for low-resolution face recognition. It is especially useful for a common situation in forensic search where faces of low resolution, e.g. on surveillance footage or in a crowd, must be compared to a high-resolution reference. This method is based on the likelihood ratio of a pair of mixed-resolution input images. The effectiveness of our method is tested on the SCface database which contains face images taken by surveillance cameras. The results show that our method outperforms recently published state-of-the-art.

    AB - In this paper, we propose a novel method for low-resolution face recognition. It is especially useful for a common situation in forensic search where faces of low resolution, e.g. on surveillance footage or in a crowd, must be compared to a high-resolution reference. This method is based on the likelihood ratio of a pair of mixed-resolution input images. The effectiveness of our method is tested on the SCface database which contains face images taken by surveillance cameras. The results show that our method outperforms recently published state-of-the-art.

    KW - EWI-26033

    KW - SCS-Safety

    KW - mixed resolution

    KW - METIS-312620

    KW - Face Recognition

    KW - SCface

    KW - Low Resolution

    KW - IR-95949

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    DO - 10.1109/IWBF.2015.7110231

    M3 - Conference contribution

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    EP - 5

    BT - Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015

    PB - IEEE Computer Society

    CY - USA

    ER -

    Peng Y, Spreeuwers LJ, Veldhuis RNJ. Likelihood Ratio Based Mixed Resolution Facial Comparison. In Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. USA: IEEE Computer Society. 2015. p. 1-5 https://doi.org/10.1109/IWBF.2015.7110231