Fast Active Appearance Model Search Using Canonical Correlation Analysis
Ruth Donner, Michael J. Reiter, Georg Langs, Philipp Peloschek, Horst Bischof · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2006
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.