Skip to main content
Kent Academic Repository

A Person-Specific, Rigorous Aging Model of the Human Face

Scandrett (nee Hill), C.M., Solomon, Christopher J., Gibson, Stuart J. (2006) A Person-Specific, Rigorous Aging Model of the Human Face. Pattern Recognition Letters, 27 (15). pp. 1776-1787. ISSN 0167-8655. (doi:10.1016/j.patrec.2006.02.007) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:35664)

PDF
Language: English

Restricted to Repository staff only
[thumbnail of Scandrett2006.pdf]
Official URL:
http://dx.doi.org/10.1016/j.patrec.2006.02.007

Abstract

We present a statistically rigorous approach to the aging of digitised images of the human face. Our methodology is based on the calculation of optimised aging trajectories in a model space and aged images can be obtained through a fast, semi-automatic procedure. In addition, person-specific information about the subject at previous ages is included, allowing aging to proceed in the most appropriate direction in the model space. The theoretical basis is introduced and experimental results from our implementation are presented and discussed.

Item Type: Article
DOI/Identification number: 10.1016/j.patrec.2006.02.007
Additional information: Special issue
Uncontrolled keywords: Age progression; PCA; Pose compensation
Subjects: Q Science
Divisions: Divisions > Division of Natural Sciences > Physics and Astronomy
Depositing User: Stuart Gibson
Date Deposited: 25 Oct 2013 13:22 UTC
Last Modified: 16 Nov 2021 10:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35664 (The current URI for this page, for reference purposes)

University of Kent Author Information

Solomon, Christopher J..

Creator's ORCID: https://orcid.org/0000-0002-5057-4614
CReDIT Contributor Roles:

Gibson, Stuart J..

Creator's ORCID: https://orcid.org/0000-0002-7981-241X
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.