西北师范大学学报（自然科学版）2016，Vol.52Issue(4)：32-37,6.DOI:10.16783/j.cnki.nwnuz.2016.04.008
一种基于对称性和上下文约束的线性鉴别分析方法
A linear discriminate analysis method based on symmetry and contextual constraints
摘要
Abstract
Linear discriminate analysis (LDA ) considers the discriminative information in the process of feature extraction , but the contextual information among pixels in the high dimensional space is not exploited .Contextual constraints based linear discriminate analysis (CCLDA) incorporates the contextual information into linear discriminate analysis during feature dimensionality reduction , w hich can provide much more useful information for classification . In this paper , linear discriminate analysis method based on symmetry and contextual constraints is proposed . In the improved method , the symmetry of the face to generate new samples is exploited and the contextual constraint in images is considered to perform face recognition . Moreover , to show the superiority of the improved method , the recognition performance of CCLDA is tested on the extended set of the original samples and the image samples . Experiments are conducted to prove the effectiveness of SCCLDA by varying illumination , facial expression and poses . Moreover , the experimental results show that the improved method outperform face recognition methods including ECCLDA , CCLDA and LDA .关键词
上下文约束/对称性/人脸识别/线性鉴别分析Key words
contextual constraints/symmetry/face recognition/linear discriminant analysis分类
信息技术与安全科学引用本文复制引用
陈凤..一种基于对称性和上下文约束的线性鉴别分析方法[J].西北师范大学学报（自然科学版）,2016,52(4):32-37,6.基金项目
浙江省教育厅一般科研项目 （）
