George, Ben and Gibson, Stuart J. and Maylin, Matthew I.S. and Solomon, Christopher J. (2008) EFIT-V - : interactive evolutionary strategy for the construction of photo-realistic facial composites. In: Keijzer, Maarten, ed. GECCO '08 Proceedings of the 10th annual conference on Genetic and evolutionary computation. GECCO Genetic and Evolutionary Computation Conference . ACM, New York, USA, pp. 1485-1490. ISBN 978-1-60558-130-9. (doi:10.1145/1389095.1389384) (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:35643)
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/10.1145/1389095.1389384 |
Abstract
Facial composite systems are used to create a likeness to a suspect in criminal investigations. Traditional, feature-based facial composite systems rely on the witness' ability to recall individual features, provide verbal descriptions and then select them from stored libraries of labelled features - a task which witnesses often find difficult. The EFIT-V facial composite system is based on different principles, employing a holistic (whole face) approach to construction.
The witness is shown a number of randomly generated faces and is asked to select the one that best resembles the target. A genetic algorithm is then used to breed a new generation of faces based upon the selected individual. This process is repeated until the user is satisfied with the composite generated.
This paper describes the main components and methodology of EFIT-V and showcases the strengths of the system.
Item Type: | Book section |
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DOI/Identification number: | 10.1145/1389095.1389384 |
Subjects: | Q Science |
Divisions: | Divisions > Division of Natural Sciences > Physics and Astronomy |
Depositing User: | Stuart Gibson |
Date Deposited: | 25 Oct 2013 13:03 UTC |
Last Modified: | 05 Nov 2024 10:19 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/35643 (The current URI for this page, for reference purposes) |
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