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Evolving the face of a criminal: how to search a face space more effectively

Lookup NU author(s): Professor Vicki Bruce

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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.

Publication metadata

Author(s): Bruce V; Frowd C; Pitchford M; Gannon C; Robinson M; Tredoux C; Park J; Mcintyre A; Hancock PJB

Publication type: Article

Publication status: Published

Journal: Soft Computing

Year: 2011

Volume: 15

Issue: 1

Pages: 61-70

ISSN (print): 1432-7643

ISSN (electronic): 1433-7479

Publisher: Springer

URL: http://dx.doi.org/10.1007/s00500-009-0518-x

DOI: 10.1007/s00500-009-0518-x

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