首页 | 本学科首页   官方微博 | 高级检索  
     

一种基于GDLPP的人脸识别算法
引用本文:祝磊,马莉,厉力华.一种基于GDLPP的人脸识别算法[J].光电工程,2008,35(6):108-112.
作者姓名:祝磊  马莉  厉力华
作者单位:杭州电子科技大学,自动化学院,生物医学工程及仪器研究所,杭州,310018
基金项目:国家自然科学基金 , 浙江省重大科技攻关国际合作项目 , 国家自然科学基金
摘    要:针对人脸识别中的特征提取问题,本文提出了一种结合Gabor小波特征和判别保局投影的人脸识别算法-GDLPP.该算法首先对人脸图像进行多分辨率的Gabor小波变换,提取样本的高阶统计信息;然后更改保局投影(LPP)的目标函数,增加样本类间散布约束,从而提取更具判别性的特征.本文采用最小近邻分类器估算识别率.在USPS数据库、Yale人脸库以及AR人脸库的测试结果表明,在姿态、光照、表情、训练样本数目变化的情况下,GDLPP都具有较好的识别率.

关 键 词:Gabor小波  保局投影  人脸识别  特征提取  人脸  识别算法  Based  Method  Recognition  情况  变化  样本数  训练  光照  姿态  测试结果  数据库  识别率  估算  近邻分类器  最小  特征  约束  样本类
收稿时间:2007/11/9

Face Recognition Method Based on GDLPP
ZHU Lei,MA Li,LI Li-hua.Face Recognition Method Based on GDLPP[J].Opto-Electronic Engineering,2008,35(6):108-112.
Authors:ZHU Lei  MA Li  LI Li-hua
Affiliation:ZHU Lei,MA Li,LI Li-hua ( Institute of Biomedical Engineering & Instrument,Hangzhou Dianzi University,Hangzhou 310018,China )
Abstract:In view of the problems of feature extraction in face recognition, a new face image feature extraction and recognition method—Gabor Discriminant Locality Preserving Projections (GDLPP) is proposed in this paper. GDLPP first gets the high-order statistical information by calculating the Gabor wavelet representation of face images. Based on LPP, GDLPP takes into account the inter-class information, changes the objective function, and extracts the discriminant feature of face for recognition. The proposed method was tested and evaluated in the USPS database, Yale face database and AR face database. Nearest neighborhood algorithm was used to construct classifiers. The experimental results show that GDLPP has good performance even if pose, illumination, face expression and train sample number change.
Keywords:Gabor wavelet  LPP  face recognition  feature extraction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号