Face Recognition Using Constrained Active Appearance Model

被引：0
|
作者：
Yu Weiwei [1 ]
机构：
[1] Shanghai Maritime Univ, Coll Informat Engn, Shanghai, Peoples R China
来源：
IITAW: 2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATIONS WORKSHOPS | 2009年
关键词：
Active Appearance Model; face recognition; constrained initialization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：348 / 351
页数：4
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