Title :
Face Recognition Using Constrained Active Appearance Model
Author_Institution :
Coll. of Inf. Eng., Shanghai Maritime Univ., Shanghai, China
Abstract :
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.
Keywords :
face recognition; image representation; image texture; principal component analysis; constrained active appearance model; constrained initialization; deformable objects; face recognition; image modeling; linear subspaces; principal component analysis; Active appearance model; Educational institutions; Electronic mail; Face recognition; Image converters; Information technology; Power engineering and energy; Principal component analysis; Shape; Terrorism; Appearance Model; constrained initialization; face recognition;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-6420-3
Electronic_ISBN :
978-1-4244-6421-0
DOI :
10.1109/IITAW.2009.104