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Modelling the variability in face images

Content Provider	IEEE Xplore Digital Library
Author	Edwards, G.J. Lanitis, A. Taylor, C.J. Cootes, T.F.
Copyright Year	1996
Description	Author affiliation: Dept. of Med. Biophys., Manchester Univ., UK (Edwards, G.J.)
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 (Lanitis et al., 1995). 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.
Starting Page	328
Ending Page	333
File Size	875941
Page Count	6
File Format	PDF
ISBN	0818677139
DOI	10.1109/AFGR.1996.557286
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-01-14
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Deformable models Image coding Biomedical imaging Biophysics Optical coupling Anatomical structure Image generation Statistical analysis Image reconstruction
Content Type	Text
Resource Type	Article

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