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Fast Active Appearance Model Search Using Canonical Correlation Analysis

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5 Author(s)
Donner, R. ; Pattern Recognition & Image Process. Group, Vienna Univ. of Technol. ; Reiter, M. ; Langs, G. ; Peloschek, P.
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A fast AAM search algorithm based on canonical correlation analysis (CCA-AAM) is introduced. It efficiently models the dependency between texture residuals and model parameters during search. Experiments show that CCA-AAMs, while requiring similar implementation effort, consistently outperform standard search with regard to convergence speed by a factor of four

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:28 ,  Issue: 10 )