J4 ›› 2013, Vol. 51 ›› Issue (03): 459-464.

• 计算机科学 • 上一篇    下一篇

基于局部二元模式和重采样双向2DLDA的人脸识别算法

苏立明1, 王莹2, 姜园媛2, 李文辉2   

  1. 1. 长春工业大学 基础科学学院, 长春 130012; 2. 吉林大学 计算机科学与技术学院, 长春 130012
  • 收稿日期:2012-08-27 出版日期:2013-05-26 发布日期:2013-05-17
  • 通讯作者: 李文辉 E-mail:liwh@jlu.edu.cn

Face Recognition Based on Local Binary Pattern andResampling Bidirectional 2DLDA

SU Liming1, WANG Ying2, JIANG Yuanyuan2, LI Wenhui2   

  1. 1. College of Basic Science, Changchun University of Technology, Changchun 130012, China;2. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2012-08-27 Online:2013-05-26 Published:2013-05-17
  • Contact: LI Wenhui E-mail:liwh@jlu.edu.cn

摘要:

针对人脸识别中存在的小样本问题及光照变化、 表情变化等导致的识别问题, 提出一种基于局部二元模式和重采样双向2DLDA的人脸识别算法
LBP-RB2DLDA. AR人脸库的实验结果表明, 该算法具有较高的识别率和鲁棒性.

关键词: 人脸识别; 双向2DLDA; 重采样

Abstract:

We proposed a face recognition method based on local binary pattern and resampling bidirectional 2DLDA, called LBPRB2DLDA, to solve the small sample size problem and recognition problem caused by variations in lighting, facial expression, etc. Experiments of AR face database show that the proposed approach possesses high recognition accuracy and robustness.

Key words:  face recognition, bidirectional 2DLDA, resampling

中图分类号: 

  • TP391.4