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FGR
2006
IEEE
104views Biometrics» more  FGR 2006»
13 years 8 months ago
Face Alignment with Unified Subspace Optimization of Active Statistical Models
Active statistical models including active shape models and active appearance models are very powerful for face alignment. They are composed of two parts: the subspace model(s) an...
Ming Zhao 0003, Tat-Seng Chua
FGR
2004
IEEE
89views Biometrics» more  FGR 2004»
13 years 8 months ago
Subspace Analysis and Optimization for AAM Based Face Alignment
1 Active Appearance Models (AAM) is very powerful for extracting objects, e.g. faces, from images. It is composed of two parts: the AAM subspace model and the AAM search. While th...
Ming Zhao 0003, Chun Chen, Stan Z. Li, Jiajun Bu
ICCV
2009
IEEE
13 years 2 months ago
Face alignment through subspace constrained mean-shifts
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of ...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
FGR
2008
IEEE
195views Biometrics» more  FGR 2008»
13 years 11 months ago
Regularized active shape model for shape alignment
Active shape model (ASM) statistically represents a shape by a set of well-defined landmark points and models object variations using principal component analysis (PCA). However, ...
Ran He, Zhen Lei, Xiaotong Yuan, Stan Z. Li
CVPR
2003
IEEE
14 years 6 months ago
Face Alignment Using Statistical Models and Wavelet Features
Active Shape Model (ASM) is a powerful statistical tool for face alignment by shape. However, it can suffer from changes in illumination and facial expression changes, and local m...
Feng Jiao, Stan Z. Li, Heung-Yeung Shum, Dale Schu...