Fast
3D
recognition
for
forensics
and
counter-terrorism
applications

RODRIGUES, Marcos and ROBINSON, Alan (2011). Fast
3D
recognition
for
forensics
and
counter-terrorism
applications. In: AKHGAR, Babak and YATES, Simeon, (eds.) Intelligence management : knowledge driven frameworks for combating terrorism and organized crime. Advanced information and knowledge processing . London, Springer-Verlag, 95-109.

Preview

PDF Fast_3D_Recognition.pdf Download (9MB) | Preview

Abstract

The development of advanced techniques for fast 3D reconstruction and recognition of human faces in unconstrained scenarios can significantly help the fight against crime and terrorism. We describe a 3D solution de- veloped within Sheffield Hallam University that satisfies a number of im- portant requirements such as operating close to real-time, high accuracy in recognition rates, and robust to local illumination. Experimental results in 3D face recognition are reported and two scenarios are provided that can be used to exploit the outcomes of this research for forensic analysis and for flagging potential threats in counter-terrorism.

Item Type:	Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Identification Number:	https://doi.org/10.1007/978-1-4471-2140-4
Page Range:	95-109
Depositing User:	Marcos Rodrigues
Date Deposited:	29 May 2012 09:34
Last Modified:	18 Mar 2021 06:16
URI:	https://shura.shu.ac.uk/id/eprint/5194

Actions (login required)

View Item

Downloads

Publication Metrics