Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Data Acquisition and Processing》 2011-05
Add to Favorite Get Latest Update

Face Recognition Based on Weighted Neighborhood Maximum Margin Criterion

Jiang Yanxia,Ren Bo(School of Optical-Electrical and Computer Engineering,University ofShanghai for Science and Technology,Shanghai,200093,China)  
The maximum margin criterion(MMC) is a linear feature extracting algorithm which computes an optimized projection by solving the generalized eigenvalue problem in a standard form that is free from inverse matrix operation.And thus it does not suffer from the small sample size problem.However,MMC preserves the global structure of dataset to obtain the projecting matrix.In face recognition,a local geometry structure is essential for classification. Hence,an improved MMC,namely weighted neighborhood maximum margin criterion(WNMMC) is proposed.Unlike MMC,WNMMC preserves the local geometric structure of database.The objective function of WNMMC leads to the enhancement of classification capacity by using the linear reconstruction coefficients.To verify the efficiency of the proposed algorithm,experiments are conducted on two face database.Experimental results show that the method consistently outperforms other recognition methods based on principal component analysis(PCA),linear discriminant analysis and maximum margin criterion.
【Fund】: 国家自然科学基金(60874002)资助项目;; 上海市优秀青年教师基金(slg09008)资助项目;; 上海理工大学光电新学员教师创新基金(GDCX-Y1110)资助项目
【CateGory Index】: TP391.41
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved