重庆理工大学学报（自然科学版）2011，Vol.25Issue(6)：84-89,6.
子模式局部保持映射人脸识别算法
Subpattern Locality Preserving Projections for face recognition
摘要
Abstract
To improve the robustness of the Locality Preserving Projections(LPP) to variation in illumination , expression and so on, a novel approach called Subpattern Locality Preserving Projections (SPLPP) was proposed for face recognition. In the SPLPP framework, samples were first divided into many non-overlapping subpattern sets and then LPP method was used on each of set, nearest neighbor classifier was used for classification in the end. The experimental results on Yale, ORL,FERER face databases illustrate that the proposed SPLPP method is superior to PCA, LDA and LPP in terms of recognition rate.关键词
人脸识别/鲁棒性/局部保持投影/子模式Key words
face recognition/robustness/locality preserving projections/subpattern分类
信息技术与安全科学引用本文复制引用
任成娟,胡淑芳,刘崇文..子模式局部保持映射人脸识别算法[J].重庆理工大学学报（自然科学版）,2011,25(6):84-89,6.基金项目
国家“863”高技术研究发展项目(2007AA01Z423)；重庆市科技攻关项目(CSTC,2008AB5038) （2007AA01Z423）
