Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/244
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.
URI: http://ktisis.cut.ac.cy/handle/10488/244
ISSN: 0262-8856
DOI: 10.1016/S0262-8856(97)00069-3
Rights: Copyright © 1998 Published by Elsevier Science B.V.
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