|Appears in Collections:||Psychology Journal Articles|
|Peer Review Status:||Refereed|
|Title:||EvoFIT: A holistic, evolutionary facial imaging technique for creating composites|
|Authors:||Frowd, Charlie D|
Hancock, Peter J B
|Publisher:||Association for Computing Machinery (ACM)|
|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.|
|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 Evo|
|Rights:||Published in ACM Transactions on Applied Perception. Copyright: Association for Computing Machinery.|
|Affiliation:||University of Stirling|
University of Stirling
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