Please use this identifier to cite or link to this item:
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
Carson, Derek
Keywords: Design
Human Factors
Facial Composite
Issue Date: Jul-2004
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
Type: Journal Article
DOI Link:
Rights: Published in ACM Transactions on Applied Perception. Copyright: Association for Computing Machinery.
Affiliation: University of Stirling
University of Stirling

Files in This Item:
File Description SizeFormat 
ACMTAP_final_inline.pdf915.14 kBAdobe PDFView/Open

This item is protected by original copyright

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.