Research Output

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.

  • Type:

    Article

  • Date:

    13 January 2009

  • Publication Status:

    Published

  • Publisher

    Springer Nature

  • DOI:

    10.1007/s00500-008-0391-z

  • Cross Ref:

    391

  • ISSN:

    1432-7643

Citation

Frowd, C., Bruce, V., Pitchford, M., Gannon, C., Robinson, M., Tredoux, C., …Hancock, P. J. B. (2009). Evolving the memory of a criminal’s face: methods to search a face space more effectively. Soft Computing. 14(1), 81-90. doi:10.1007/s00500-008-0391-z. ISSN 1432-7643

Authors

Keywords

Theoretical Computer Science; Software; Geometry and Topology

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