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Cited by 484

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Interpreting face images using active appearance models

Edwards, G.J., Taylor, C.J., Cootes, T.F.·2002·Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition

Abstract

We demonstrate a fast, robust method of interpreting face images using an Active Appearance Model (AAM). An AAM contains a statistical model of shape and grey level appearance which can generalise to almost any face. Matching to an image involves finding model parameters which minimise the difference between the image and a synthesised face. We observe that displacing each model parameter from the correct value induces a particular pattern in the residuals. In a training phase, the AAM learns a linear model of the correlation between parameter displacements and the induced residuals. During search it measures the residuals and uses this model to correct the current parameters, leading to a better fit. A good overall match is obtained in a few iterations, even from poor starting estimates. We describe the technique in detail and show it matching to new face images.

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Metadata

Authors
Edwards, G. J., Taylor, C. J., & Cootes, T. F.
Venue
Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition
Published
2002-11-27
Pages
300-305
ISSN
1541-5058 (ISSN-L)
OpenAlex
W1769974409
Cited by
484
References
9
FWCI
13.07
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Interpreting face images using active appearance models. https://app.cochat.ai/papers/10.1109/afgr.1998.670965
The paper
Edwards, G. J., Taylor, C. J., & Cootes, T. F. (2002). Interpreting face images using active appearance models. Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition. https://doi.org/10.1109/afgr.1998.670965

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.