Skip to main content
DORAS
DCU Online Research Access Service
Login (DCU Staff Only)
A machine vision system for forensic analysis

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

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
620kB

Abstract

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
Refereed:Yes
Uncontrolled Keywords:image analysis; A magnum; semi-automatic segmentation; surface orientation; viewpoint rectification;
Subjects:UNSPECIFIED
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:http://www.cs.qub.ac.uk/imvip2005/
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 12:32 by DORAS Administrator . Last Modified 16 Jan 2019 12:37

Downloads

Downloads per month over past year

Archive Staff Only: edit this record

Altmetric
- Altmetric
+ Altmetric
  • Student Email
  • Staff Email
  • Student Apps
  • Staff Apps
  • Loop
  • Disclaimer
  • Privacy
  • Contact Us