Manually annotated characteristic descriptors: Measurability and variability

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    Abstract

    In this paper we study the measurability and variability of manually annotated characteristic descriptors on a forensic relevant face dataset. Characteristic descriptors are facial features (landmarks, shapes, etc.) that can be used during forensic case work. With respect to measurability, we observe that a significant proportion cannot be determined in images representative of forensic case work. Landmarks, closed and open shapes, and other forensic facial features show mostly that the variability depends on the image quality. Up to 50% of all considered evidential values are either positively or negatively influenced by annotator variability. However, when considering images with the lowest quality, we found that more than 70% of the evidential value intervals in principle could yield the wrong conclusion.

    Original languageEnglish
    Title of host publication2017 5th International Workshop on Biometrics and Forensics (IWBF 2017)
    PublisherIEEE
    ISBN (Electronic)9781509057917
    ISBN (Print)9781509057924
    DOIs
    Publication statusPublished - 26 May 2017
    EventInternational Workshop on Biometrics and Forensics 2017 - Coventry, United Kingdom
    Duration: 4 Apr 20175 Apr 2017
    Conference number: 5
    https://warwick.ac.uk/fac/sci/dcs/people/chang-tsun_li/iwbf2017/

    Conference

    ConferenceInternational Workshop on Biometrics and Forensics 2017
    Abbreviated titleIWBF 2017
    CountryUnited Kingdom
    CityCoventry
    Period4/04/175/04/17
    Internet address

    Keywords

    • FISWG
    • Forensic facial features
    • Manual annotation
    • Measurability
    • Variability

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  • Cite this

    Zeinstra, C., Veldhuis, R., Spreeuwers, L., & Ruifrok, A. (2017). Manually annotated characteristic descriptors: Measurability and variability. In 2017 5th International Workshop on Biometrics and Forensics (IWBF 2017) [7935095] IEEE. https://doi.org/10.1109/IWBF.2017.7935095