Gibson, Stuart J., Solomon, Christopher J., Maylin, Matthew I. S., Clark, Clifford (2009) New methodology in facial composite construction: from theory to practice. International Journal of Electronic Security and Digital Forensics, 2 (2). pp. 156-168. ISSN 1751-911X. (doi:10.1504/IJESDF.2009.024900) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35649)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1504/IJESDF.2009.024900 |
Abstract
Existing commercial, computerised techniques for constructing facial composites generated from eyewitness memory are essentially electronic versions of the original, mechanical feature-based systems such as PhotoFIT and Identikit. The effectiveness of this feature-based approach is fundamentally limited by the witness's ability to recall and verbalise accurate descriptions of facial features from memory. Recent advances in facial composite methodology have led to software systems that do not rely on this process but instead exploit a cognitively less demanding process of recognition. We provide a technical overview of the EFIT-V system, currently being used by a number of police services in the UK.
Item Type: | Article |
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DOI/Identification number: | 10.1504/IJESDF.2009.024900 |
Uncontrolled keywords: | E-FIT; EFIT-V; facial composites; facial construction; holistic; facial recognition; UK; United Kingdom; facial reconstruction; facial appearance; facial features; criminal investigations; global facial characteristics; whole face characteristics; face images; witness recollection. |
Subjects: | Q Science |
Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Physics and Astronomy |
Former Institutional Unit: |
School of Physical Sciences Divisions > Division of Natural Sciences > Physics and Astronomy
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Depositing User: | Stuart Gibson |
Date Deposited: | 25 Oct 2013 12:21 UTC |
Last Modified: | 20 May 2025 09:34 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/35649 (The current URI for this page, for reference purposes) |
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