Beyond the eye of the beholder: on a forensic descriptor of the eye region

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

    3 Citations (Scopus)

    Abstract

    The task of forensic facial experts is to assess the likelihood whether a suspect is depicted on crime scene images. They typically (a) use morphological analysis when comparing parts of the facial region, and (b) combine this partial evidence into a final judgment. Facial parts can be considered as soft biometric modalities and in recent years have been studied in the biometric community. In this paper we focus on the region around the eye from a forensic perspective by applying the FISWG feature list of the eye modality. We compare existing work from the soft biometric perspective based on a texture descriptor with our approach.
    Original languageUndefined
    Title of host publication23rd European Signal Processing Conference, EUSIPCO 2015
    PublisherIEEE Signal Processing Society
    Pages779-783
    Number of pages5
    ISBN (Print)978-0-9928626-3-3
    Publication statusPublished - Sep 2015
    Event23rd European Signal Processing Conference, EUSIPCO 2015 - Nice, France
    Duration: 31 Aug 20154 Sep 2015
    Conference number: 23
    http://www.eusipco2015.org/

    Publication series

    Name
    PublisherIEEE Signal Processing Society

    Conference

    Conference23rd European Signal Processing Conference, EUSIPCO 2015
    Abbreviated titleEUSIPCO
    CountryFrance
    CityNice
    Period31/08/154/09/15
    Internet address

    Keywords

    • SCS-Safety
    • EWI-26479
    • FISWG
    • METIS-315040
    • IR-98378
    • Forensic Facial Recognition
    • eye modality

    Cite this

    Zeinstra, C. G., Veldhuis, R. N. J., & Spreeuwers, L. J. (2015). Beyond the eye of the beholder: on a forensic descriptor of the eye region. In 23rd European Signal Processing Conference, EUSIPCO 2015 (pp. 779-783). IEEE Signal Processing Society.
    Zeinstra, Christopher Gerard ; Veldhuis, Raymond N.J. ; Spreeuwers, Lieuwe Jan. / Beyond the eye of the beholder: on a forensic descriptor of the eye region. 23rd European Signal Processing Conference, EUSIPCO 2015. IEEE Signal Processing Society, 2015. pp. 779-783
    @inproceedings{0a9c691bff114b30b5c71c64c97a9649,
    title = "Beyond the eye of the beholder: on a forensic descriptor of the eye region",
    abstract = "The task of forensic facial experts is to assess the likelihood whether a suspect is depicted on crime scene images. They typically (a) use morphological analysis when comparing parts of the facial region, and (b) combine this partial evidence into a final judgment. Facial parts can be considered as soft biometric modalities and in recent years have been studied in the biometric community. In this paper we focus on the region around the eye from a forensic perspective by applying the FISWG feature list of the eye modality. We compare existing work from the soft biometric perspective based on a texture descriptor with our approach.",
    keywords = "SCS-Safety, EWI-26479, FISWG, METIS-315040, IR-98378, Forensic Facial Recognition, eye modality",
    author = "Zeinstra, {Christopher Gerard} and Veldhuis, {Raymond N.J.} and Spreeuwers, {Lieuwe Jan}",
    note = "eemcs-eprint-26479",
    year = "2015",
    month = "9",
    language = "Undefined",
    isbn = "978-0-9928626-3-3",
    publisher = "IEEE Signal Processing Society",
    pages = "779--783",
    booktitle = "23rd European Signal Processing Conference, EUSIPCO 2015",

    }

    Zeinstra, CG, Veldhuis, RNJ & Spreeuwers, LJ 2015, Beyond the eye of the beholder: on a forensic descriptor of the eye region. in 23rd European Signal Processing Conference, EUSIPCO 2015. IEEE Signal Processing Society, pp. 779-783, 23rd European Signal Processing Conference, EUSIPCO 2015, Nice, France, 31/08/15.

    Beyond the eye of the beholder: on a forensic descriptor of the eye region. / Zeinstra, Christopher Gerard; Veldhuis, Raymond N.J.; Spreeuwers, Lieuwe Jan.

    23rd European Signal Processing Conference, EUSIPCO 2015. IEEE Signal Processing Society, 2015. p. 779-783.

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

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    AU - Zeinstra, Christopher Gerard

    AU - Veldhuis, Raymond N.J.

    AU - Spreeuwers, Lieuwe Jan

    N1 - eemcs-eprint-26479

    PY - 2015/9

    Y1 - 2015/9

    N2 - The task of forensic facial experts is to assess the likelihood whether a suspect is depicted on crime scene images. They typically (a) use morphological analysis when comparing parts of the facial region, and (b) combine this partial evidence into a final judgment. Facial parts can be considered as soft biometric modalities and in recent years have been studied in the biometric community. In this paper we focus on the region around the eye from a forensic perspective by applying the FISWG feature list of the eye modality. We compare existing work from the soft biometric perspective based on a texture descriptor with our approach.

    AB - The task of forensic facial experts is to assess the likelihood whether a suspect is depicted on crime scene images. They typically (a) use morphological analysis when comparing parts of the facial region, and (b) combine this partial evidence into a final judgment. Facial parts can be considered as soft biometric modalities and in recent years have been studied in the biometric community. In this paper we focus on the region around the eye from a forensic perspective by applying the FISWG feature list of the eye modality. We compare existing work from the soft biometric perspective based on a texture descriptor with our approach.

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    KW - EWI-26479

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    KW - METIS-315040

    KW - IR-98378

    KW - Forensic Facial Recognition

    KW - eye modality

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    SN - 978-0-9928626-3-3

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    BT - 23rd European Signal Processing Conference, EUSIPCO 2015

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    Zeinstra CG, Veldhuis RNJ, Spreeuwers LJ. Beyond the eye of the beholder: on a forensic descriptor of the eye region. In 23rd European Signal Processing Conference, EUSIPCO 2015. IEEE Signal Processing Society. 2015. p. 779-783