Modelling the variability in face images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 nonlinear shape variation. We show that the new methods are better suited to interpretation and tracking tasks.

Bibliographical metadata

Original languageEnglish
Title of host publicationProceedings of the International Conference on Automatic Face and Gesture Recognition|Proc Int Conf Autom Face Gest Recogn
Place of PublicationLos Alamitos, CA, United States
PublisherIEEE
Pages328-333
Number of pages5
Publication statusPublished - 1996
EventProceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition - Killington, VT, USA
Event duration: 1 Jul 1996 → …
http://Requested 28 Mar 02

Conference

ConferenceProceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition
CityKillington, VT, USA
Period1/07/96 → …
Internet address