This study, reporting the results of a 2012 Master’s dissertation, of 131 skulls from 6 Classical to Medieval populations in Macedonia and England examined the relationship between craniometric variables and dental anomalies of shape, number, and position. Standard craniometric landmarks were measured and dental anomalies of shape, number, and position were recorded and tested for associations ...

Craniofacial superimposition is the second stage of a complex forensic technique that aims to identify a missing person from a photograph (or video shot) and the skull found. This specific task is devoted to find the most appropriate pose of the skull model to be projected onto the photograph. The process is guided by a number of landmarks identified both in the skull (craniometric landmarks) a...

This study estimated the magnitude of sexual dimorphism in a relict sheep from Catalunya (NE Spain), called Fardasca,using geometric morphometric techniques. For these analyses, a total of 18 skull specimens (2 adult males and 16 females) were studied. Our results suggest that the breed is not cranially dimorphic, so sex determination using landmarks described here as criteria is likely to yiel...

Recently published craniometric and genetic studies indicate a predominantly indigenous ancestry of Indian populations. We address this issue with a fuller coverage of Indian craniometrics than any done before. We analyse metrical variability within Indian series, Indians' sexual dimorphism, differences between northern and southern Indians, index-based differences of Indian males from other se...

Despite the fact that sex assessment using craniofacial characteristics is commonly made worldwide, a lack of such investigation is noted in the Balkan area and in Greece in particular. The aim of this study is to develop a sex determination technique using osteometric data from skeletal remains of a contemporary Cretan cemetery population. A total of 90 males and 88 females are measured accord...

Automatic human facial recognition is an important and complicated task; it is necessary to design algorithms capable of recognizing the constant patterns in the face and to use computing resources efficiently. In this paper we present a novel algorithm to recognize the human face in real time; the system’s input is the depth and color data from the Microsoft KinectTM device. The algorithm reco...