作者: Mikoláš Jurda , Petra Urbanová
DOI: 10.1016/J.LEGALMED.2016.09.004
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摘要: The present paper aims to test performances of semi-automatic tools for mesh-to-mesh processing while assessing sex and ancestry in documented human crania. studied sample 80 crania, which originated two Brazilian collections (Sao Paulo, Brazil) was digitized using photogrammetry laser scanning. 3D cranial morphology quantified by computing inter-mesh dissimilarity measures in-house freeware FIDENTIS Analyst (www.fidentis.com). Numerical outputs were further processed Discriminant Function Analysis Canonical Variant order classify models into groups. In addition, described a set 37 landmarks, Procrustes analysis confronted with the comparison. Patterns sexual dimorphism ancestral group-specific variation interpreted average meshes emphasized employing advanced visualization graphics. capable detect shape differences related ancestry. highest accuracy levels determination obtained representing facial skeleton supraorbital region. For both, correctly assigned 82.5% Ancestry-related manifested primarily global features (observed rates reaching 63%). provided highly informative insight ancestry-related variation. While current state technique cannot be considered suitable being implemented everyday forensic practice, extent automatization proved perspective, especially skeletal that properly discrete variables.