重庆邮电大学学报（自然科学版）2011，Vol.23Issue(1)：121-126,6.DOI:10.3979/j.issn.1673-825X.2011.01.025
基于统计特征的人脸识别研究
Research of face recognition based on statistical image feature
摘要
Abstract
According to the analysis of the singular value vector of face image and left-right orthogonal characteristic matrix which corresponds to the singular value vector, the singular vectors relied to image grayscale was found in the paper as follows: The maximum of the singular values presented the position of image grayscale, and other singular values showed the width of Grayscale. Moreover, it was also discovered that the left-right orthogonal characteristic matrix which corresponded to image singular value vectors could present structure information of picture contour. Finally, basis space face recognition algorithm based on SVD(singular value distribution) was pmposed in order to make further certification that image left-right orthogonal characteristic matrix could present structure information of picture contour, carrying on emulation in the ORL and ORL-IC database. It is concluded that the left-right orthogonal characteristic matrix can present structure information of picture contour.关键词
人脸识别/奇异值分解(SVD)/特征向量/特征矩阵/基空间Key words
face recognition/ singular value distribution ( SVD)/ eigenvector/ characteristic matrix/ basis space分类
信息技术与安全科学引用本文复制引用
宋海周,钱鹰..基于统计特征的人脸识别研究[J].重庆邮电大学学报（自然科学版）,2011,23(1):121-126,6.基金项目
国家自然科学基金(60873186) （60873186）
