Statistical models of face images - Improving specificity

Research output: Contribution to journalArticle

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. © 1998 Elsevier Science B.V.

Bibliographical metadata

Original languageEnglish
Pages (from-to)203-211
Number of pages8
JournalImage and Vision Computing
Volume16
Issue number3
Publication statusPublished - 16 Mar 1998