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Soft Computing
Published in: Soft Computing 1/2010

01-01-2010 | Original Paper

Evolving the memory of a criminal’s face: methods to search a face space more effectively

Authors: Charlie Frowd, Vicki Bruce, Melanie Pitchford, Carol Gannon, Mark Robinson, Colin Tredoux, Jo Park, Alex Mcintyre, Peter J. B. Hancock

Published in: Soft Computing | Issue 1/2010

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Abstract

Witnesses and victims of serious crime are often required to construct a facial composite from their memory, 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 Principal Components Analysis. 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.
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Appendix
Available only for authorised users
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Metadata
Title
Evolving the memory of a criminal’s face: methods to search a face space more effectively
Authors
Charlie Frowd
Vicki Bruce
Melanie Pitchford
Carol Gannon
Mark Robinson
Colin Tredoux
Jo Park
Alex Mcintyre
Peter J. B. Hancock
Publication date
01-01-2010
Publisher
Springer-Verlag
Published in
Soft Computing / Issue 1/2010
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-008-0391-z

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