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.

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Official URL: http://www.springer.com/computer/ai/book/978-1-447...
Link to published version:: https://doi.org/10.1007/978-1-4471-2140-4
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    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: 28 Mar 2019 15:01
    URI: http://shura.shu.ac.uk/id/eprint/5194

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