Second IEEE International Conference on Automatic Face and Gesture Recognition (FG '96) Modelling the variability in face images Killington, Vermont October 14-October 16 ISBN: 0-8186-7713-9
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.
Index Terms:
face recognition; face image variability modelling; model based approaches; face image recognition; statistical models; face shape; grey-level appearance; image coding; image interpretation; person; expression; pose; lighting; nonlinear shape variation; tracking tasks
Citation:
G.J. Edwards, A. Lanitis, C.J. Taylor, T.F. Cootes, "Modelling the variability in face images," fg, pp.328, Second IEEE International Conference on Automatic Face and Gesture Recognition (FG '96), 1996 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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