Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

A machine vision system for forensic analysis

Ghita, Ovidiu and Gapert, René and Monks, Laura and Last, Jason and Whelan, Paul F. (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.

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:image analysis; A magnum; semi-automatic segmentation; surface orientation; viewpoint rectification;
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Publisher:School of Computer Science, Queens University Belfast
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:4644
Deposited On:02 Jul 2009 13:32 by DORAS Administrator. Last Modified 27 Oct 2017 09:53

Download statistics

Archive Staff Only: edit this record