Search:
Computing and Library Services - delivering an inspiring information environment

Configural and featural information in facial-composite images

Frowd, Charlie D., Jones, Sharrome, Fodarella, Cristina, Skelton, Faye, Fields, Steve, Williams, Anna, Marsh, John, Thorley, Rachel, Nelson, Laura, Greenwood, Leah, Date, Louisa, Kearley, Kevin, McIntyre, Alex H. and Hancock, Peter J.B. (2014) Configural and featural information in facial-composite images. Science and Justice, 54 (3). pp. 215-227. ISSN 1355-0306

[img] PDF - Accepted Version
Download (981kB)

Abstract

Eyewitnesses are often invited to construct a facial composite, an image created of the person they saw commit a crime that is used by law enforcement to locate criminal suspects. In the current paper, the effectiveness of composite images was investigated from traditional feature systems (E-FIT and PRO-fit), where participants (face constructors) selected individual features to build the face, and a more recent holistic system (EvoFIT), where they ‘evolved’ a composite by repeatedly selecting from arrays of complete faces. Further participants attempted to name these composites when seen as an unaltered image, or when blurred, rotated, linearly stretched or converted to a photographic negative. All of the manipulations tested reduced correct naming of the composites overall except (i) for a low level of blur, for which naming improved for holistic composites but reduced for feature composites, and (ii) for 100% linear stretch, for which a substantial naming advantage was observed. Results also indicated that both featural (facial elements) and configural (feature spacing) information was useful for recognition in both types of composite system, but highly-detailed information was more accurate in the feature-based than the holistic method. The naming advantage of linear stretch was replicated using a forensically more-practical procedure with observers viewing an unaltered ¬composite sideways. The work is valuable to police practitioners and designers of facial-composite systems.

Item Type: Article
Subjects: Q Science > Q Science (General)
Schools: School of Applied Sciences
School of Applied Sciences > Forensic Biology Research Group
Related URLs:
Depositing User: Cherry Edmunds
Date Deposited: 22 Oct 2013 11:11
Last Modified: 30 Nov 2016 22:15
URI: http://eprints.hud.ac.uk/id/eprint/18995

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©