Fast Active Appearance Model Search Using Canonical Correlation Analysis

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 CCAAAMs, while requiring similar implementation effort, consistently outperform standard search with regard to convergence speed by a factor of four.

• Type: Journal
• Year: 2006
• Where: PAMI
• Authors: Rene Donner, Michael Reiter, Georg Langs, Philipp Peloschek, Horst Bischof
• Keywords: AAM Search Algorithm, Canonical Correlation Analysis, PAMI 2006, Similar Implementation Effort