New methodology in facial composite construction: from theory to practice

Authors:
Stuart J. Gibson;Chris J. Solomon;Matthew I. S. Maylin;Clifford Clark
Affiliations:
School of Physical Sciences, University of Kent, Canterbury CT2 7NH, UK.;School of Physical Sciences, University of Kent, Canterbury CT2 7NH, UK.;School of Physical Sciences, University of Kent, Canterbury CT2 7NH, UK.;Department of Psychology, Faculty of Social Sciences, The Open University, Walton Hall, Milton Keynes MK7 6AA, UK
Venue:
International Journal of Electronic Security and Digital Forensics
Year:
2009

Citing 4
Cited 1

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Adaptation in natural and artificial systems
Digital Image Processing

Digital Image Processing
EvoFIT: A holistic, evolutionary facial imaging technique for creating composites

ACM Transactions on Applied Perception (TAP)
A person-specific, rigorous aging model of the human face

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Interactive evolutionary generation of facial composites for locating suspects in criminal investigations

Applied Soft Computing

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Abstract

Existing commercial, computerised techniques for constructing facial composites generated from eyewitness memory are essentially electronic versions of the original, mechanical feature-based systems such as PhotoFIT and Identikit. The effectiveness of this feature-based approach is fundamentally limited by the witness's ability to recall and verbalise accurate descriptions of facial features from memory. Recent advances in facial composite methodology have led to software systems that do not rely on this process but instead exploit a cognitively less demanding process of recognition. We provide a technical overview of the EFIT-V system, currently being used by a number of police services in the UK.