会议专题

Local Mean Based Supervised Discrimiant Projection Algorithm

Unsupervised discriminant projection (UDP) is an effective unsupervised discriminant projection technique based on locality, but it does not adopt the class information of training data which can enhance the discriminability. To overcome the limitation of UDP, the paper develops an enhanced UDP algorithm, called local mean based supervised projection algorithm. The proposed method does not only employs more robust local mean to preserve the local structure of data but also make use of the class information of data, which result in the better separability of transformed samples. Experimental results on the ORL > FERET and AR face databases verify the effectiveness of the proposed algorithm.

local mean neighborhood preserving feature extraction face recognition

Caikou Chen Yiming Yu Min Jiang Xinlong Ding

Information Engineering College, Yangzhou University, Yangzhou, 225009, China

国际会议

2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

上海

英文

360-363

2010-12-25(万方平台首次上网日期,不代表论文的发表时间)