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Facial Symmetry in Robust Anthropometrics

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    SYSNO ASEP0356963
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleFacial Symmetry in Robust Anthropometrics
    Author(s) Kalina, Jan (UIVT-O) RID, SAI, ORCID
    Source TitleJournal of Forensic Sciences - ISSN 0022-1198
    Roč. 57, č. 3 (2012), s. 691-698
    Number of pages8 s.
    Languageeng - English
    CountryUS - United States
    Keywordsforensic science ; anthropology ; robust image analysis ; correlation analysis ; multivariate data ; classification
    Subject RIVBB - Applied Statistics, Operational Research
    R&D Projects1M06014 GA MŠk - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    UT WOS000307011500001
    EID SCOPUS84860207121
    DOI10.1111/j.1556-4029.2011.02000.x
    AnnotationImage 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 learning are applied for comparison. The robust correlation analysis can be applicable to other problems of forensic anthropology.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2013