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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Evolving the face of a criminal: How to search a face space more effectively
Soft Computing, Volume 15, No. 1, Year 2011
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Description
Witnesses and victims of serious crime are often required to construct a facial composite, a visual likeness of a suspect's face. The traditional method is for them to select individual facial features to build a face, but often these images are of poor quality. We have developed a new method whereby witnesses repeatedly select instances from an array of complete faces and a composite is evolved over time by searching a face model built using PCA. While past research suggests that the new approach is superior, performance is far from ideal. In the current research, face models are built which match a witness's description of a target. It is found that such 'tailored' models promote better quality composites, presumably due to a more effective search, and also that smaller models may be even better. The work has implications for researchers who are using statistical modelling techniques for recognising faces. © 2009 Springer-Verlag.
Authors & Co-Authors
Frowd, Charlie D.
United Kingdom, Preston
University of Central Lancashire
Bruce, Vicki
United Kingdom, Newcastle
Newcastle University
Pitchford, Melanie
United Kingdom, Preston
University of Central Lancashire
Gannon, Carol
United Kingdom, Preston
University of Central Lancashire
Robinson, Mark D.
United Kingdom, Stirling
University of Stirling
Tredoux, Colin Getty
South Africa, Cape Town
University of Cape Town
Park, Joanne L.
United Kingdom, Stirling
University of Stirling
Mcintyre, Alex
United Kingdom, Stirling
University of Stirling
Hancock, Peter J.B.
United Kingdom, Stirling
University of Stirling
Statistics
Citations: 20
Authors: 9
Affiliations: 4
Identifiers
Doi:
10.1007/s00500-009-0518-x
ISSN:
14327643
e-ISSN:
14337479