计算机应用研究2012，Vol.29Issue(11)：4331-4333,4356,4.DOI:10.3969/j.issn.1001-3695.2012.11.085
子模式局部保持映射人脸识别
Sub-pattern locality preserving projection for face recognition
摘要
Abstract
Researches show that sub-pattern based face recognition approaches perform better than whole image based methods in local face information preservation. As manifold learning technologies preserve local manifold structure of the nonlinear sub-manifold while implementing dimension reduction, this paper put forward a sub-pattern locality preserving projection ( BspLPP). Unlike previous approaches partitioned all training images of different classes into sub-images and used the same location images to form a sub-pattern, BspLPP first partitioned the same class images into different sub-images, used the same location sub-images to form a sub-pattern, and then applied LPP to learn the manifold structure of each sub-pattern. Experimental results show that BspLPP preserves the manifold and local information well and improves the recognition performance.关键词
人脸识别/子模式/局部保持映射/流形学习Key words
face recognition/ sub-pattern/ LPP (locality preserving projections) / manifold learning分类
信息技术与安全科学引用本文复制引用
曹林林,张化祥,王至超..子模式局部保持映射人脸识别[J].计算机应用研究,2012,29(11):4331-4333,4356,4.基金项目
国家自然科学基金资助项目(61170145) （61170145）
国家高等学校博士点专项基金资助项目(20113704110001) （20113704110001）
山东省自然科学基金资助项目(ZR2010FM021) （ZR2010FM021）
山东省科技攻关计划项目(2010G0020115) （2010G0020115）
山东省电子发展基金资助项目(2008B0026) （2008B0026）
山东省分布式新技术重点实验室资助项目 （）
