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Active Appearance Models
June 2001 (vol. 23 no. 6)
pp. 681-685

Abstract—We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training set. We construct an efficient iterative matching algorithm by learning the relationship between perturbations in the model parameters and the induced image errors.

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Index Terms:
Appearance models, deformable templates, model matching.
Citation:
Timothy F. Cootes, Gareth J. Edwards, Christopher J. Taylor, "Active Appearance Models," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 681-685, June 2001, doi:10.1109/34.927467
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