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|Title:||Statistical models of face images--improving specificity||Authors:||Edwards, Gareth J.
Taylor, Chris J.
Cootes, Timothy F.
|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:||http://dx.doi.org/10.1016/S0262-8856(97)00069-3||Rights:||Copyright © 1998 Published by Elsevier Science B.V.||Type:||Article|
|Appears in Collections:||Άρθρα/Articles|
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