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A comparison of individual and morphed facial composites created using different systems

A comparison of individual and morphed facial composites created using different systems

Davis, Josh P. ORCID: 0000-0003-0017-7159, Sulley, Lucy, Solomon, Chris and Gibson, Stuart (2010) A comparison of individual and morphed facial composites created using different systems. In: (EST 2010) 2010 International Conference on Emerging Security Technologies. IEEE Computer Society/The Institute of Electrical and Electronics Engineers, Inc., Piscataway, NJ, USA, pp. 56-60. ISBN 9781424478453 (Print), 9780769541754 (Online) (doi:10.1109/EST.2010.29)

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Abstract

An evaluation of individual and morphed composites created using the E-FIT and EFIT-V production systems was conducted. With the assistance of trained police staff, composites of unfamiliar targets were constructed from memory following a Cognitive Interview. EFIT-V composite production followed either a two-day delay, or on the same day as viewing a video of the target. E-FIT composites were created on the same day as viewing the target video. Morphs were produced from merging either two, or three composites created by the same witness, but with the assistance of a different operator. Participants familiar with the targets supplied similarity-to-target photograph ratings. No differences were found in the rated quality of composites created using E-FIT or EFIT-V, although a two-day delay in production resulted in inferior images. Morphs were rated as better likenesses than individual composites, although the benefits were greater with EFIT-Vs. Encouraging witnesses to create more than one composite image for subsequent morphing might enhance the likelihood of recognition of facial composites of criminals.

Item Type: Conference Proceedings
Title of Proceedings: (EST 2010) 2010 International Conference on Emerging Security Technologies
Additional Information: Paper forms part of proceedings of the 2010 International Conference on Emerging Security Technologies (EST 2010), held 6-8 September 2010, University of Kent, Canterbury, UK.
Uncontrolled Keywords: facial composites, E-FIT, EFIT-V
Subjects: Q Science > QP Physiology
Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Health & Social Care
School of Health & Social Care > Applied Psychology Research Group
School of Health & Social Care > Department of Psychology & Counselling
Related URLs:
Last Modified: 14 Oct 2016 09:10
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/3958

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