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Facial Symmetry in Robust Anthropometrics

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    0356963 - ÚI 2013 RIV US eng J - Journal Article
    Kalina, Jan
    Facial Symmetry in Robust Anthropometrics.
    Journal of Forensic Sciences. Roč. 57, č. 3 (2012), s. 691-698. ISSN 0022-1198. E-ISSN 1556-4029
    R&D Projects: GA MŠk(CZ) 1M06014
    Institutional research plan: CEZ:AV0Z10300504
    Keywords : forensic science * anthropology * robust image analysis * correlation analysis * multivariate data * classification
    Subject RIV: BB - Applied Statistics, Operational Research
    Impact factor: 1.244, year: 2012

    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 learning are applied for comparison. The robust correlation analysis can be applicable to other problems of forensic anthropology.
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