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Facial Symmetry in Robust Anthropometrics
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SYSNO ASEP 0356963 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Facial Symmetry in Robust Anthropometrics Author(s) Kalina, Jan (UIVT-O) RID, SAI, ORCID Source Title Journal of Forensic Sciences - ISSN 0022-1198
Roč. 57, č. 3 (2012), s. 691-698Number of pages 8 s. Language eng - English Country US - United States Keywords forensic science ; anthropology ; robust image analysis ; correlation analysis ; multivariate data ; classification Subject RIV BB - Applied Statistics, Operational Research R&D Projects 1M06014 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000307011500001 EID SCOPUS 84860207121 DOI 10.1111/j.1556-4029.2011.02000.x Annotation 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. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2013
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