Fast Active Appearance Model Search Using Canonical Correlation Analysis

  • Authors:
  • Rene Donner;Michael Reiter;Georg Langs;Philipp Peloschek;Horst Bischof

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2006

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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.