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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.
Image processing and computer vision, active appearance models, statistical image models, subspace methods, medical imaging.

M. Reiter, P. Peloschek, R. Donner, G. Langs and H. Bischof, "Fast Active Appearance Model Search Using Canonical Correlation Analysis," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 28, no. , pp. 1690-1694, 2006.
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