Likelihood Ratio Based Mixed Resolution Facial Comparison

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    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