Towards a semi-automatic method for the statistically rigorous aging of the human face

Hill, C.M., Solomon, Christopher J., Gibson, Stuart J. (2005) Towards a semi-automatic method for the statistically rigorous aging of the human face. In: IEE International Conference on Visual Information Engineering, Glasgow, Scotland. (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)

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. (Contact us about this Publication)
Official URL
http://www.scopus.com/inward/record.url?eid=2-s2.0...

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 [Field not mapped to EPrints] C3 - IEE Conference Publication [Field not mapped to EPrints]
Uncontrolled keywords: Age progression, PCA, Pose compensation, Parameter estimation, Statistics, Forensic age progression, Human face, Semi-automatic method, Aging of materials
Subjects: Q Science
Divisions: Faculties > Sciences > School of Physical Sciences > Forensic Imaging Group
Depositing User: Giles Tarver
Date Deposited: 21 May 2015 10:07 UTC
Last Modified: 29 May 2019 14:34 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48544 (The current URI for this page, for reference purposes)
  • Depositors only (login required):