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Facial Symmetry in Robust Anthropometrics

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00356963" target="_blank" >RIV/67985807:_____/12:00356963 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1111/j.1556-4029.2011.02000.x" target="_blank" >http://dx.doi.org/10.1111/j.1556-4029.2011.02000.x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/j.1556-4029.2011.02000.x" target="_blank" >10.1111/j.1556-4029.2011.02000.x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Facial Symmetry in Robust Anthropometrics

  • Original language description

    Image analysis methods commonly used in forensic anthropology do not have desirable robustness properties, which can be ensured by robust statistical methods. In this paper, the face localization in images is carried out by detecting symmetric areas in the images. Symmetry is measured between two neighboring rectangular areas in the images using a new robust correlation coefficient, which down-weights regions in the face violating the symmetry. Raw images of faces without usual preliminary transformations are considered. The robust correlation coefficient based on the least weighted squares regression yields very promising results also in the localization of such faces, which are not entirely symmetric. Standard methods of statistical machine learningare applied for comparison. The robust correlation analysis can be applicable to other problems of forensic anthropology.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1M06014" target="_blank" >1M06014: Centre of Biomedical Informatics</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Forensic Sciences

  • ISSN

    0022-1198

  • e-ISSN

  • Volume of the periodical

    57

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    691-698

  • UT code for WoS article

    000307011500001

  • EID of the result in the Scopus database