Modelling the variability in face images

G. J. Edwards; A. Lanitis; C. J. Taylor; T. F. Cootes

Modelling the variability in face images

G. J. Edwards, A. Lanitis, C. J. Taylor, T. F. Cootes

Research output: Chapter in Book/Report/Conference proceeding › Conference 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.

Original language	English
Title of host publication	Proceedings of the International Conference on Automatic Face and Gesture Recognition\|Proc Int Conf Autom Face Gest Recogn
Place of Publication	Los Alamitos, CA, United States
Publisher	IEEE
Pages	328-333
Number of pages	5
Publication status	Published - 1996
Event	Proceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition - Killington, VT, USA Duration: 1 Jul 1996 → … http://Requested 28 Mar 02

Conference

Conference	Proceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition
City	Killington, VT, USA
Period	1/07/96 → …
Internet address	http://Requested 28 Mar 02

Keywords

Peer Reviewed Conference

Cite this

@inproceedings{37ccc6110dfc4c37aa513b1fa8b02d82,

title = "Modelling the variability in face images",

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.",

keywords = "Peer Reviewed Conference",

author = "Edwards, {G. J.} and A. Lanitis and Taylor, {C. J.} and Cootes, {T. F.}",

year = "1996",

language = "English",

pages = "328--333",

booktitle = "Proceedings of the International Conference on Automatic Face and Gesture Recognition|Proc Int Conf Autom Face Gest Recogn",

publisher = "IEEE",

address = "United States",

note = "Proceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition ; Conference date: 01-07-1996",

url = "http://Requested 28 Mar 02",

}

Edwards, GJ, Lanitis, A, Taylor, CJ & Cootes, TF 1996, Modelling the variability in face images. in Proceedings of the International Conference on Automatic Face and Gesture Recognition|Proc Int Conf Autom Face Gest Recogn. IEEE, Los Alamitos, CA, United States, pp. 328-333, Proceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition, Killington, VT, USA, 1/07/96.

TY - GEN

T1 - Modelling the variability in face images

AU - Edwards, G. J.

AU - Lanitis, A.

AU - Taylor, C. J.

AU - Cootes, T. F.

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

KW - Peer Reviewed Conference

M3 - Conference contribution

SP - 328

EP - 333

BT - Proceedings of the International Conference on Automatic Face and Gesture Recognition|Proc Int Conf Autom Face Gest Recogn

PB - IEEE

CY - Los Alamitos, CA, United States

T2 - Proceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition

Y2 - 1 July 1996

ER -

Modelling the variability in face images

Abstract

Conference

Keywords

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