Facial Symmetry in Robust Anthropometrics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F12%3A00356963" target="_blank" >RIV/67985807:_____/12:00356963 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1111/j.1556-4029.2011.02000.x" target="_blank" >http://dx.doi.org/10.1111/j.1556-4029.2011.02000.x</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/j.1556-4029.2011.02000.x" target="_blank" >10.1111/j.1556-4029.2011.02000.x</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Facial Symmetry in Robust Anthropometrics

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Facial Symmetry in Robust Anthropometrics

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/1M06014" target="_blank" >1M06014: Centrum biomedicínské informatiky (CBI)</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Forensic Sciences

ISSN

0022-1198

e-ISSN

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Svazek periodika

57

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

691-698

Kód UT WoS článku

000307011500001

EID výsledku v databázi Scopus

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