Počet záznamů: 1  

Facial Symmetry in Robust Anthropometrics

  1. 1.
    SYSNO ASEP0356963
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    Poddruh JČlánek ve WOS
    NázevFacial 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. 691-698
    Poč.str.8 s.
    Jazyk dok.eng - angličtina
    Země vyd.US - Spojené státy americké
    Klíč. slovaforensic science ; anthropology ; robust image analysis ; correlation analysis ; multivariate data ; classification
    Vědní obor RIVBB - Aplikovaná statistika, operační výzkum
    CEP1M06014 GA MŠk - Ministerstvo školství, mládeže a tělovýchovy
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    UT WOS000307011500001
    EID SCOPUS84860207121
    DOI10.1111/j.1556-4029.2011.02000.x
    AnotaceImage 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.
    PracovištěÚstav informatiky
    KontaktTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Rok sběru2013