计算机工程与应用2018，Vol.54Issue(8)：201-206,6.DOI:10.3778/j.issn.1002-8331.1611-0311
基于字典扩展的快速人脸识别算法
Fast face recognition based on dictionary expansion
摘要
Abstract
This paper proposes an algorithm based on the l2-norm minimization which is much better than the l1-norm minimization.This algorithm is much more accurate on some database and efficient than the traditional sparse representation-based classification.The algorithm adds a feature dictionary into the training dictionary,which can increase the proportion of the feature information and raise the recognition rate. In a series of experiments, it can be found that the method is more accurate in the recognition rate and robust to both pixel corruption and block occlusion than other methods.关键词
人脸识别/字典扩展/l2-范数最小化Key words
face recognition/dictionary expansion/l2-norm minimization分类
信息技术与安全科学引用本文复制引用
聂栋栋,贺悦悦..基于字典扩展的快速人脸识别算法[J].计算机工程与应用,2018,54(8):201-206,6.基金项目
河北省高等学校青年拔尖人才计划(No.BJ2014060) （No.BJ2014060）
燕山大学青年教师自主研究计划课题(No.15LGA016). （No.15LGA016）
