[1].The local quotient image method—an iuumination preproassing method for face recogaition[J].智能系统学报,2010,5(4):372-375.
GAN Sheng.The local quotient image method—an iuuminationpreproassing method for face recogaition[J].CAAI Transactions on Intelligent Systems,2010,5(4):372-375.
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GAN Sheng.The local quotient image method—an iuuminationpreproassing method for face recogaition[J].CAAI Transactions on Intelligent Systems,2010,5(4):372-375.
The local quotient image method—an iuumination preproassing method for face recogaition
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
5
期数:
2010年第4期
页码:
372-375
栏目:
学术论文—机器感知与模式识别
出版日期:
2010-08-25
- Title:
- The local quotient image method—an iuuminationpreproassing method for face recogaition
- 文章编号:
- 1673-4785(2010)04-0372-04
- 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
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