Fast Active Appearance Model Search Using Canonical Correlation Analysis

Author

Donner, R. ; Reiter, M. ; Langs, G. ; Peloschek, P. ; Bischof, H.

Author_Institution

Pattern Recognition & Image Process. Group, Vienna Univ. of Technol.

Volume

28

Issue

10

fYear

2006

Firstpage

1690

Lastpage

1694

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

Keywords

correlation methods; image texture; search problems; canonical correlation analysis; fast active appearance model search; model parameters; texture residuals; Active appearance model; Algorithm design and analysis; Biomedical imaging; Convergence; Jacobian matrices; Least squares methods; Newton method; Noise shaping; Recursive estimation; Shape; Image processing and computer vision; active appearance models; medical imaging.; statistical image models; subspace methods; Algorithms; Artificial Intelligence; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Models, Theoretical; Pattern Recognition, Automated; Statistics as Topic;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2006.206

Filename

1677523