ForenFace: A unique annotated forensic facial image dataset and toolset

Chris G. Zeinstra*, Raymond N.J. Veldhuis, Luuk J. Spreeuwers, Arnout C.C. Ruifrok, Didier Meuwly

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    2 Citations (Scopus)

    Abstract

    Few facial image datasets are suitable for forensic research. In this study, the authors present ForenFace, a facial image and video dataset. It contains video sequences and extracted images of 97 subjects recorded with six different surveillance camera of various types. Moreover, it also contains high-resolution images and 3D scans. The novelty of this dataset lies in two aspects: (i) a subset of 435 images (87 subjects, five images per subject) has been manually annotated, yielding a very rich forensically relevant annotation of almost 19.000 facial parts, and (ii) making available a toolset to create, view, and extract the annotation. The authors present protocols and the result of a baseline experiment in which two commercial software packages and an annotated facial feature contained in this dataset are compared. The dataset, the annotation and tools are available under a usage license.

    Original languageEnglish
    Pages (from-to)487-494
    Number of pages8
    JournalIET biometrics
    Volume6
    Issue number6
    DOIs
    Publication statusPublished - 1 Nov 2017

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