Facial Feature Extraction on Fiducial Points and Used in Face Recognition

被引：1
|
作者：
Yu Weiwei [1 ]
Yan Nannan [1 ]
机构：
[1] Shanghai Maritime Univ, Coll Informat Engn, Shanghai, Peoples R China
来源：
2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL 3, PROCEEDINGS | 2009年
关键词：
Feature extraction; Face Recognition; Fiducial Points; Active Appearance Models; Gabor wavelet;
D O I：
10.1109/IITA.2009.241
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
One of the main issues of face recognition is to decide what features to represent a face. In this paper, we present a new algorithm that extracts facial features on some fiducial points. 17 fiducial points are automatically located by Active Appearance Models (AAMs) and characterized with Gabor wavelet analysis. The features are evaluated by a face database, which includes more than 400 images of 40 persons. Experimental results show the algorithm is effective and robust under some conditions.
引用
收藏
页码：274 / 277
页数：4
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