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A machine vision system for forensic analysis
Ghita, Ovidiu; Gapert, René; Monks, Laura; Last, Jason; Whelan, Paul F.
Human skeletal remains are analysed by forensic anthropologists in order to draw conclusions about the probable identity of the deceased. During the analysis, the skull is used, along with other bones, to help determine the identity of the decedent. If only the base of the skull is available, forensic researchers take manual measurements from the large oval aperture in this region, the foramen magnum, in order to obtain information about the gender of the deceased. As this operation requires human intervention, the measurements are affected by the bias introduced by the human operator. The aim of this paper is to describe a full machine vision solution to perform precise morphological measurements of the foramen magnum. The system has been designed to extract measurements from 2D and 3D data and the returned results accurately match the manual measurements.
Keyword(s): image analysis; A magnum; semi-automatic segmentation; surface orientation; viewpoint rectification
Publication Date:
2005
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Ghita, Ovidiu, Gapert, René, Monks, Laura, Last, Jason and Whelan, Paul F. ORCID: 0000-0001-9230-7656 <https://orcid.org/0000-0001-9230-7656> (2005) A machine vision system for forensic analysis. In: IMVIP 2005 - 9th Irish Machine Vision and Image Processing Conference, 30-31 August 2005, Belfast, Northern Ireland.
Publisher(s): School of Computer Science, Queens University Belfast
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/4644/1/imvip_2005_ghita.pdf,
http://www.cs.qub.ac.uk/imvip2005/
First Indexed: 2009-11-05 02:01:33 Last Updated: 2019-02-09 06:58:50