J 2016

Two-dimensional Wavelet Analysis of Supraorbital Margins of the Human Skull for Characterizing Sexual Dimorphism

PINTO, Silvia, Petra URBANOVÁ and Roberto CESAR

Basic information

Original name

Two-dimensional Wavelet Analysis of Supraorbital Margins of the Human Skull for Characterizing Sexual Dimorphism

Authors

PINTO, Silvia (76 Brazil), Petra URBANOVÁ (203 Czech Republic, guarantor, belonging to the institution) and Roberto CESAR (76 Brazil)

Edition

IEEE Transactions on Information Forensics and Security, 2016, 1556-6013

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30501 Forensic science

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 4.332

RIV identification code

RIV/00216224:14310/16:00089605

Organization unit

Faculty of Science

UT WoS

000374890000013

Keywords (in Czech)

Určení pohlaví; mezipohlavní rozdíly; kosterní nálezy; margo supraorbitalis; analýza tvaru; waveletová analýza

Keywords in English

Sex determination; sexual dimorphism; skeletal remains; supraorbital margin; shape analysis; wavelet transform

Tags

Tags

International impact, Reviewed
Změněno: 8/3/2018 09:47, doc. RNDr. Petra Urbanová, Ph.D.

Abstract

V originále

The accurate determination of the sex of human skeletal remains is a critical challenge in forensic pathology and skeletal anthropology. The pelvis and skull are the most commonly used skeletal sites for determining the sex of skeletons. In the skull, the supraorbital region, which includes the supraorbital margin, is considered a specific sexually dimorphic trait. In the traditional approach, sex is determined through visual and tactile assessment. The present paper introduces a methodology for the objective quantification of sexually dimorphic features using Wavelet Transform, which is a multi-scale mathematical tool that allows for measurement of shape variations that are hidden at different scales of resolution. The method was successfully applied for sex determination of a pilot sample of 3D meshes – digital records of supraorbital morphology. This information can be used by experts to improve the accuracy of biologic profile assessment of a human skeleton, and to describe the geographic and temporal variations within and among populations.

Links

MUNI/A/1379/2015, interní kód MU
Name: Rozvoj analytických nástrojů pro studium tělesných znaků člověka se zaměřením na analýzu dynamiky pohybu
Investor: Masaryk University, Category A