Fast 3D recognition for forensics and counter-terrorism applications

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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. [Book Section]

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5194:6475

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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.

More Information

Official URL:

http://www.springer.com/computer/ai/book/978-1-447...

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

Page Range:

95-109

Identifiers

Identification Number:

10.1007/978-1-4471-2140-4