[1].The local quotient image method—an iuumination preproassing method for face recogaition[J].智能系统学报,2010,5(04):372-375.
 GAN Sheng.The local quotient image method—an iuuminationpreproassing method for face recogaition[J].CAAI Transactions on Intelligent Systems,2010,5(04):372-375.
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《智能系统学报》[ISSN:1673-4785/CN:23-1538/TP]

卷:
第5卷
期数:
2010年04期
页码:
372-375
栏目:
出版日期:
2010-08-25

文章信息/Info

Title:
The local quotient image method—an iuuminationpreproassing method for face recogaition
文章编号:
1673-4785(2010)04-0372-04
Author(s):
GAN Sheng
College of Information Science and Technology, Nankai University, Tianjin 300071, China
Keywords:
face recognition illumination preprocessing local quotient image illumination model
分类号:
TP391.41
文献标志码:
A
Abstract:
Differences in illumination of the same face can defeat simple face recognition systems, yet most methods that compensate are too difficult to implement. Local quotient image (LQI) is an efficient illumination preprocessing method for face recognition systems. An illumination model and a face model were developed, and their use in the new method was analyzed. Analysis of the method’s computational complexity showed it to be efficient. Experimental results on Yale Face Database B showed that the method can effectively eliminate the effects of differences in illumination and provides considerable improvement in recognition rates. 

备注/Memo

备注/Memo:
Received Date:2009-04-10.
Corresponding Author:GAN Sheng.E-mail:kankaqi@gmail.com.
Biographies: Sheng Gan obtained his bachelor’s degree in Computer Science in 2006 from Beijing Normal University. At the same time he also obtained another bachelor’s degree in English Literature. He won the first prize in Mathematics Contest for Beijing College Students in 2004. He ranks among the top 5% in his department. His field of interest is Computer vision and Pattern recognition.
更新日期/Last Update: 2010-09-20