Face Recognition Using Constrained Active Appearance Model

The active appearance model (AAM) has been shown powerful for modeling images of deformable objects. AAM uses principal component analysis (PCA) based linear subspaces to model the 2D shapes and textures of the images of a target object class. Such a representation allows AAM to represent a certain...

Full description

Saved in:
Bibliographic Details
Published in2009 3rd International Symposium on Intelligent Information Technology Application Workshops pp. 348 - 351
Main Author Yu Weiwei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Active appearance model
Appearance Model
constrained initialization
Educational institutions
Electronic mail
Face recognition
Image converters
Information technology
Power engineering and energy
Principal component analysis
Shape
Terrorism
Online AccessGet full text
ISBN142446420X
9781424464203
DOI10.1109/IITAW.2009.104

Cover

More Information
Summary:The active appearance model (AAM) has been shown powerful for modeling images of deformable objects. AAM uses principal component analysis (PCA) based linear subspaces to model the 2D shapes and textures of the images of a target object class. Such a representation allows AAM to represent a certain image very small number of parameters. A suitable constrained initialization is presented in matching process so as to make converge better and quicker. We demonstrate the application of the scheme to the task of face recognition and experimental results show it is effective.
ISBN:142446420X
9781424464203
DOI:10.1109/IITAW.2009.104