|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|
McIntyre, Alex H
Hancock, Peter J B
|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.|
|Rights:||Published in Soft Computing by Springer Verlag. The original publication is available at www.springerlink.com|
|Frowd-EvolvingFace_SoftComputing.pdf||358.28 kB||Adobe PDF||View/Open|
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