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Face recognition with relative difference space and SVM

  • He Xiaoguang
  • , Tian Jie*
  • , He Yuliang
  • , Yang Xin
  • *此作品的通讯作者
  • University of Chinese Academy of Sciences

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, a new method based on Relative Difference space (RDS) and Support Vector Machine (SVM) is proposed for multi-class recognition. First the RDS transformation converts the multi-class problem to a binary-class problem, and then SVM is used for the binary classification directly. Compared with the traditional method of Difference Space (DS), RDS is reversible and it overcomes the illtransformation problem. This method is applied to face recognition in Yale Face database B, and the recognition result demonstrates its robust performance under different illumination conditions.

源语言英语
主期刊名Track C
主期刊副标题Applications and Robotics Systems
出版商Institute of Electrical and Electronics Engineers Inc.
527-531
页数5
ISBN(印刷版)0769525210, 9780769525211
DOI
出版状态已出版 - 2006
已对外发布
活动18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, 中国
期限: 20 8月 200624 8月 2006

出版系列

姓名Proceedings - International Conference on Pattern Recognition
3
ISSN(印刷版)1051-4651

会议

会议18th International Conference on Pattern Recognition, ICPR 2006
国家/地区中国
Hong Kong
时期20/08/0624/08/06

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