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EFIT-V -: interactive evolutionary strategy for the construction of photo-realistic facial composites

Authors:

Ben George,

Stuart J. Gibson,

Matthew I.S. Maylin,

Christopher J. SolomonAuthors Info & Claims

GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

Pages 1485 - 1490

https://doi.org/10.1145/1389095.1389384

Published: 12 July 2008 Publication History

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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.

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S. J. Gibson, C. J. Solomon, and A. Pallares Bejarano. Synthesis of photographic quality facial composites using evolutionary algorithms. Proceedings of the British Machine Vision Conference 2003, Vol 1:221--230, 2003.

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S.J. Gibson, A. Pallares-Bejarano, M.I.S. Maylin, and C.J. Solomon. The generation of facial composites using and evolutionary algorithm. In Konstantinos Sirlantzis, editor, 6th International Conference on Recent Advances in Soft Computing, pages 249--254. RASC, July 2006.

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Cited By

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Wang YPei Y(2024)A comprehensive survey on interactive evolutionary computation in the first two decades of the 21st centuryApplied Soft Computing10.1016/j.asoc.2024.111950164(111950)Online publication date: Oct-2024
https://doi.org/10.1016/j.asoc.2024.111950
Erickson WBrown CPortch ELampinen JMarsh JFodarella CPetkovic ACoultas CNewby ADate LHancock PFrowd C(2022)The impact of weapons and unusual objects on the construction of facial compositesPsychology, Crime & Law10.1080/1068316X.2022.207964330:3(207-228)Online publication date: 20-Jun-2022
https://doi.org/10.1080/1068316X.2022.2079643
Hailemariam MGoertzel BYohannes T(2019)Evolving 3D Facial Expressions Using Interactive Genetic AlgorithmsAdvances of Science and Technology10.1007/978-3-030-15357-1_40(492-502)Online publication date: 8-Mar-2019
https://doi.org/10.1007/978-3-030-15357-1_40
Show More Cited By

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EFIT-V -: interactive evolutionary strategy for the construction of photo-realistic facial composites

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GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation

July 2008

1814 pages

ISBN:9781605581309

DOI:10.1145/1389095

Conference Chair:
Conor Ryan
University of Limerick, Ireland
,
Editor:
Maarten Keijzer
Chordiant Software International B.V., The Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 12 July 2008

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GECCO08: Genetic and Evolutionary Computation Conference

July 12 - 16, 2008

GA, Atlanta, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Wang YPei Y(2024)A comprehensive survey on interactive evolutionary computation in the first two decades of the 21st centuryApplied Soft Computing10.1016/j.asoc.2024.111950164(111950)Online publication date: Oct-2024
https://doi.org/10.1016/j.asoc.2024.111950
Erickson WBrown CPortch ELampinen JMarsh JFodarella CPetkovic ACoultas CNewby ADate LHancock PFrowd C(2022)The impact of weapons and unusual objects on the construction of facial compositesPsychology, Crime & Law10.1080/1068316X.2022.207964330:3(207-228)Online publication date: 20-Jun-2022
https://doi.org/10.1080/1068316X.2022.2079643
Hailemariam MGoertzel BYohannes T(2019)Evolving 3D Facial Expressions Using Interactive Genetic AlgorithmsAdvances of Science and Technology10.1007/978-3-030-15357-1_40(492-502)Online publication date: 8-Mar-2019
https://doi.org/10.1007/978-3-030-15357-1_40
Ness HHancock PBowie LBruce VPike G(2015)Are two views better than one? Investigating three-quarter view facial compositesJournal of Forensic Practice10.1108/JFP-10-2014-004017:4(291-306)Online publication date: 9-Nov-2015
https://doi.org/10.1108/JFP-10-2014-0040
Mist JGibson SAlba E(2013)Optimization of weighted vector directional filters using an interactive evolutionary algorithmProceedings of the 15th annual conference companion on Genetic and evolutionary computation10.1145/2464576.2482754(1691-1694)Online publication date: 6-Jul-2013
https://dl.acm.org/doi/10.1145/2464576.2482754
Tanji MIba HPelikan MBranke J(2010)ConBreOProceedings of the 12th annual conference on Genetic and evolutionary computation10.1145/1830483.1830711(1275-1282)Online publication date: 7-Jul-2010
https://dl.acm.org/doi/10.1145/1830483.1830711
Lech AJohnston R(2010)Facial Composite Production Using EFITVProceedings of the 2010 International Conference on Emerging Security Technologies10.1109/EST.2010.25(44-49)Online publication date: 6-Sep-2010
https://dl.acm.org/doi/10.1109/EST.2010.25

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New methodology in facial composite construction: from theory to practice

Interactive evolutionary generation of facial composites for locating suspects in criminal investigations

Facial Occlusion Reconstruction: Recovering Both the Global Structure and the Local Detailed Texture Components

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New methodology in facial composite construction: from theory to practice

Interactive evolutionary generation of facial composites for locating suspects in criminal investigations

Facial Occlusion Reconstruction: Recovering Both the Global Structure and the Local Detailed Texture Components

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