Please use this identifier to cite or link to this item:
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
Author(s): 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
Face Identification Case studies
Criminal investigation
Issue Date: Jan-2010
Date Deposited: 22-Dec-2009
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.
DOI Link: 10.1007/s00500-008-0391-z
Rights: Published in Soft Computing by Springer Verlag. The original publication is available at

Files in This Item:
File Description SizeFormat 
Frowd-EvolvingFace_SoftComputing.pdfFulltext - Accepted Version358.28 kBAdobe PDFView/Open

This item is protected by original copyright

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.