电子学报2011，Vol.39Issue(11)：2526-2533,8.
一种基于重采样双向2DLDA融合的人脸识别算法
A Face Recognition Algorithm Using a Fusion Method Based on Resampling Bidirectional 2DLDA
李文辉 1姜园媛 1王莹 1傅博1
作者信息
- 1. 吉林大学计算机科学与技术学院,吉林长春130012
- 折叠
摘要
Abstract
Aiming at recognition problem caused by variations in lighting,facial expression etc and small sample size problem which generally exist in face recognition, this paper proposes a novel recognition method, called RB2DLDA, which fuses bidirectional 2DLDA feature by resampling technique.In matrix-based LDA,2DLDA uses inner-class and intra-class covariance information in the vertical direction,and E2DLDA uses inner-class and intra-class covariance information in the horizontal direction, this paper proves in theory that class information in the two directions is complementary to each other to some extent,provides theoretical foundation for fusing class information in the two directions to design classifier and improves recognition performance of the classifier. Moreover,proposes an adaptive algorithm of setting feature reduction parameter. Our method is tested on AR and CAS-PEAL-R1 face databases, and the experimental results show that the proposed approach possesses higher recognition accuracy and robustness than other state-of-the art methods.关键词
人脸识别/重采样/双向二维线性判别分析Key words
face recognition/ resampling/ bidirectional two-dimensional linear discriminant analysis (2DLDA)分类
信息技术与安全科学引用本文复制引用
李文辉,姜园媛,王莹,傅博..一种基于重采样双向2DLDA融合的人脸识别算法[J].电子学报,2011,39(11):2526-2533,8.
