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Fast active appearance model search using canonical correlation analysis
Authors:Donner René  Reiter Michael  Langs Georg  Peloschek Philipp  Bischof Horst
Affiliation:Pattern Recognition and Image Processing Group, Institute of Computer Aided Automation, Vienna University of Technology, Favoritenstr. 9/183/2, A-1040 Vienna, Austria. donner@prip.tuwien.ac.at
Abstract: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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