Article

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

Details

Citation

Frowd CD, Hancock PJB & Carson D (2004) EvoFIT: A holistic, evolutionary facial imaging technique for creating composites. ACM Transactions on Applied Perception, 1 (1), pp. 19-39. https://doi.org/10.1145/1008722.1008725

Abstract
EvoFIT, a computerized facial composite system is being developed as an alternative to current systems. EvoFIT Faces are initially presented to a witness with random characteristics, but through a process of selection and breeding, a composite is ‘evolved’. Comparing composites constructed with E-FIT, a current system, a naming rate of 10% was found for EvoFIT and 17% for E-FIT. Analysis revealed that target age was limiting factor for EvoFIT and a second study with age appropriate targets visible during composite construction produced a naming rate similar to E-FIT. Two more-realistic studies were conducted that involved young target faces and 2 current systems (E-FIT and PROfit). Composites from both of these experiments were poorly named but a significant benefit emerged for EvoFIT.

Keywords
Design; Experimentation; Human Factors; Facial Composite; PCA; Face perception Computer systems; Face Physiology Computer systems

Journal
ACM Transactions on Applied Perception: Volume 1, Issue 1

StatusPublished
Publication date31/07/2004
URLhttp://hdl.handle.net/1893/314
PublisherAssociation for Computing Machinery (ACM)
ISSN1544-3558

People (1)

People

Professor Peter Hancock

Professor Peter Hancock

Professor, Psychology