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Appears in Collections:Psychology Journal Articles
Peer Review Status: Refereed
Title: Evolving the memory of a criminal’s face: methods to search a face space more effectively
Authors: Frowd, Charlie D
Bruce, Vicki
Pitchford, Melanie
Gannon, Carol
Robinson, Mark
Tredoux, Colin
Park, Joanne
McIntyre, Alex H
Hancock, Peter J B
Contact Email:
Keywords: face generation
genetic algorithms
Issue Date: Jan-2010
Publisher: Springer Verlag
Citation: Frowd CD, Bruce V, Pitchford M, Gannon C, Robinson M, Tredoux C, Park J, McIntyre AH & Hancock PJB (2010) Evolving the memory of a criminal’s face: methods to search a face space more effectively, Soft Computing, 14 (1), pp. 81-90.
Abstract: 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.
Type: Journal Article
DOI Link:
Rights: Published in Soft Computing by Springer Verlag. The original publication is available at
Affiliation: University of Central Lancashire
Lancaster University
University of Central Lancashire
University of Stirling
University of Cape Town

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