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

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. Keywords. Face generation; evolution; face perception; PCA; Genetic A...

• Type: Journal
• Year: 2010
• Where: SOCO
• Authors: Charlie D. Frowd, Vicki Bruce, Melanie Pitchford, Carol Gannon, Mark Robinson, Colin Tredoux, Jo Park, Alex H. McIntyre, Peter J. B. Hancock
• Keywords: Better Quality Composites, Individual Facial Features, SOCO 2010, Software Engineering, Suspect’s Face