首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于正交邻域保持投射的DT-CWT特征人脸识别
引用本文:孙粤辉,杜明辉.基于正交邻域保持投射的DT-CWT特征人脸识别[J].华南理工大学学报(自然科学版),2007,35(9):45-49.
作者姓名:孙粤辉  杜明辉
作者单位:华南理工大学,电子与信息学院,广东,广州,510640
基金项目:广东省自然科学基金资助项目(05006593)
摘    要:为了有效地利用双树-复小波变换(DT-CWT)进行人脸识别,提出一种将DT-CWT与正交邻域保持投射(ONPP)相结合的方法.先通过DT-CWT得到具有空间、频率以及方向特征的人脸特征表示,然后使用ONPP对特征向量进行线性降维,有效地保持了数据的局部与全局的几何特征,最后进行识别测试.实验结果表明,基于DT-CWT的ONPP算法可以在特征维数有效降低的前提下很好地完成人脸识别任务.

关 键 词:双树-复小波变换  正交邻域保持投射  人脸识别
文章编号:1000-565X(2007)09-0045-05
修稿时间:2006-10-27

Face Recognition via DT-CWT Feature-Based Orthogonal Neighborhood Preserving Projections
Sun Yue-hui,Du Ming-hui.Face Recognition via DT-CWT Feature-Based Orthogonal Neighborhood Preserving Projections[J].Journal of South China University of Technology(Natural Science Edition),2007,35(9):45-49.
Authors:Sun Yue-hui  Du Ming-hui
Institution:School of Electronic and Information Engineering,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China
Abstract:In order to efficiently accomplish the face recognition using dual-tree complex-wavelet transform(DT-CWT),a method composed of DT-CWT and orthogonal neighborhood preserving projections(ONPP) is proposed.In this method,a feature vector with desirable characteristics including spatial locality,frequency and orientation selectivity is obtained by DT-CWT.Then,the dimension of the vector is linearly reduced by ONPP,thus effectively preserving the intrinsic neighborhood geometry of the vector and the global geometry.So,the recognition can be easily performed.Experimental results demonstrate that the proposed ONPP based on DT-CWT can accomplish the face recognition well with the feature dimension being effectively reduced.
Keywords:dual-tree complex-wavelet transform  orthogonal neighborhood preserving projection  face recognition
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