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Facial Symmetry in Robust Anthropometrics
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SYSNO ASEP 0356963 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Facial Symmetry in Robust Anthropometrics Tvůrce(i) Kalina, Jan (UIVT-O) RID, SAI, ORCID Zdroj.dok. Journal of Forensic Sciences - ISSN 0022-1198
Roč. 57, č. 3 (2012), s. 691-698Poč.str. 8 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova forensic science ; anthropology ; robust image analysis ; correlation analysis ; multivariate data ; classification Vědní obor RIV BB - Aplikovaná statistika, operační výzkum CEP 1M06014 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000307011500001 EID SCOPUS 84860207121 DOI 10.1111/j.1556-4029.2011.02000.x Anotace 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. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2013
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