计算机应用与软件2013，Vol.30Issue(8)：113-116,4.DOI:10.3969/j.issn.1000-386x.2013.08.030
一种用于人脸识别的图优化线性判别分析算法
A GRAPH-OPTIMISED LINEAR DISCRIMINANT ANALYSIS ALGORITHM FOR FACE RECOGNITION
摘要
Abstract
A dimensionality reduction algorithm with linear discriminant analysis based on graph-optimisation for face recognition is proposed in the paper.The algorithm first defines the associated adjacency matrix of same class nature and the mutex adjacency matrix of different class nature ; Then takes these two adjacency matrixes as the function factors to set up respectively the weight matrix between two different samples; Finally,the data dimensionality reduction is achieved by the related projection of these two metric weight matrixes.Experiments on Yale,YaleB and UMIST face datasets verify the effectiveness of the algorithm.关键词
人脸识别/降维/线性判别分析/图优化Key words
Face recognition / Dimensionality reduction / Linear discriminant analysis / Graph optimisation分类
信息技术与安全科学引用本文复制引用
房晓东..一种用于人脸识别的图优化线性判别分析算法[J].计算机应用与软件,2013,30(8):113-116,4.基金项目
全国教育科学"十一五"规划教育部重点课题(GJA104009). （GJA104009）
