计算机工程与应用2009，Vol.45Issue(31)：5-8,4.DOI:10.3778/j.issn.1002-8331.2009.31.002
NMF与LDA相结合的彩色人脸识别
Non-negative matrix factorization combined with linear discriminant analysis far color face recognition
摘要
Abstract
In order to improve the accuracy of color face recognition approach,non-negative matrix factorization is combined with linear discriminant analysis algorithm in this paper.Non-negative matrix factorization algorithm is employed to encode the color information of different channels of color face image.And base images are computed by the NMF algorithm.Linear discriminant analysis algorithm is exploited to compute the optimal discriminant subspace based on the factorization coefficients of face im-ages.Nearest neighborhood classifier is adopted to identify the color face samples based on the projective coefficients on the sub-space.Experimental results on CVL and CMU PIE color face databases verify the effectiveness of the proposed algorithm.关键词
人脸识别/非负矩阵分解/线性判别分析Key words
face recognition/non-negative matrix factorization/linear discriminant analysis分类
信息技术与安全科学引用本文复制引用
白晓明,王成章..NMF与LDA相结合的彩色人脸识别[J].计算机工程与应用,2009,45(31):5-8,4.基金项目
国家自然科学基金青年基金(the National Nature Science Foundation of China under Grant No.10801004). （the National Nature Science Foundation of China under Grant No.10801004）
