Aging the human face - A statistically rigorous approach

Hill, C.M. and Solomon, Christopher J. and Gibson, Stuart J. (2005) Aging the human face - A statistically rigorous approach. In: IEE Conference Publication. IEE International Symposium on Imaging for Crime Detection and Prevention. pp. 89-94. (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)

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Abstract

Forensic age progression for the purpose of aging a missing child is a discipline currently dominated by artistic methodologies. In order to improve on these techniques, we present a statistically rigorous approach to the aging of the human face. The technique is based upon a Principal Component Analysis and involves the definition of an aging direction through the model space, using an age-weighted combination of model parameters. Pose and expression compensation methods are also incorporated, allowing faces at a wide variety of pose orientations and expressions to be aged accurately. Near photo-quality images are obtained quickly and the resultant aging effects are realistic and plausible.

Item Type: Conference or workshop item (Paper)
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - IEE Conf Publ [Field not mapped to EPrints] AD - University of Kent, Canterbury, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] A4 - IEE Visual Information Engineering Professional Network; EPSRC; BMVA; Jill Dando Institute of Crime Science; IEEE; et.al [Field not mapped to EPrints] C3 - IEE Conference Publication [Field not mapped to EPrints]
Uncontrolled keywords: Image processing, Mathematical models, Principal component analysis, Statistical methods, Age-weighted combination, Aging effects, Forensic age progression, Photo-quality images, Face recognition
Subjects: Q Science
Divisions: Faculties > Sciences > School of Physical Sciences > Forensic Imaging Group
Depositing User: Giles Tarver
Date Deposited: 21 May 2015 10:09 UTC
Last Modified: 22 May 2015 10:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48545 (The current URI for this page, for reference purposes)
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