Active appearance models
IEEE Transactions on Pattern Analysis and Machine IntelligencePublished 1 June 2001
T.F. Cootes, G. Edwards, Chris Taylor
Citations5,433
SJR quartileQ1
SJR score3.91
SNIP5.99
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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.
Keywords
Computer Science
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