Aplikace metod virtuální antropologie při určování pohlaví u fragmentárních kosterních nálezů

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Science. Official publication website can be found on muni.cz.
Title in English Application of methods of virtual anthropology for sex assessment in fragmented skeletal remains
Authors

JANDOVÁ Marie ŠPLÍCHALOVÁ Ivana URBANOVÁ Petra

Year of publication 2015
Type Article in Periodical
Magazine / Source Studia archaeologica Brunensia
MU Faculty or unit

Faculty of Science

Citation
web http://digilib.phil.muni.cz/bitstream/handle/11222.digilib/133100/1_StudiaArcheologicaBrunensia_20-2015-1_8.pdf?sequence=1
Field Archaeology, anthropology, ethnology
Keywords fragmented skeletal remains; sex determination in human skull; virtual anthropology; virtual restoration
Description In contrast to traditional techniques, the restoration and reconstruction of fragmented skeletal remains in a digital environment is considered far less destructive and invasive to the original skeletal remains. The present study aimed to outline an optimized approach to the virtual anatomical restoration of fragmented human skulls. In addition, it aimed to examine the applicability of currently available sex determination methods in virtually restored skulls. The studied sample consisted of 268 cranial fragments which were digitized using a 3D Next Engine laser scanner and restored with Amira software functionalities. Of the various sex determination methods, traditional visual assessment and computer-aided osteometric techniques performed by the FORDISC 3.0, 3D-ID 1.0, and COLIPR 1.0 programs were tested. When confronted with sex diagnoses based on pelvic bones, the results showed that sex diagnoses from virtual skulls were more reliable if based on visual assessment rather than on computer-aided osteometric approaches, where the population-specificity of applied algorithms combined with the incompleteness and poorer preservation of restored skulls affected the final reliability rates.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.