Please use this identifier to cite or link to this item:
Title: Statistical models of face images--improving specificity
Authors: Edwards, Gareth J.
Taylor, Chris J.
Cootes, Timothy F.
Lanitis, Andreas 
Keywords: Face image interpretation;Model-based approach
Issue Date: 1998
Publisher: Elsevier B. V.
Source: Image and Vision Computing, Vol. 16, no. 3, 1998, pp. 203-211
Abstract: Model-based approaches to the interpretation of face images have proved very successful. We have previously described statistically based models of face shape and grey-level appearance and shown how they can be used to perform various coding and interpretation tasks. In the paper we describe improved methods of modelling which couple shape and grey-level information more directly than our existing methods, isolate the changes in appearance due to different sources of variability (person, expression, pose, lighting) and deal with non-linear shape variation. We show that the new methods are better suited to interpretation and tracking tasks.
ISSN: 0262-8856
Rights: Copyright © 1998 Published by Elsevier Science B.V.
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record

Page view(s)

Last Week
Last month
checked on Dec 10, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.