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Chin. Opt. Lett.
 Home  List of Issues    Issue 04 , Vol. 06 , 2008    A novel pose and illumination robust face recognition with a single training image per person algorithm


A novel pose and illumination robust face recognition with a single training image per person algorithm
Junbao Li1, Jeng-Shyang Pan2
1 Department of Automatic Test and Control, [Harbin Institute of Technology], Harbin 150001
2 Department of Electronic Engineering, [National Kaohsiung University of Applied Sciences], Kaohsiung

Chin. Opt. Lett., 2008, 06(04): pp.255-257-3

DOI:
Topic:Image processing
Keywords(OCIS Code): 100.5010  100.5760  100.0100  100.2960  

Abstract
In the real-world application of face recognition system, owing to the difficulties of collecting samples or storage space of systems, only one sample image per person is stored in the system, which is so-called one sample per person problem. Moreover, pose and illumination have impact on recognition performance. We propose a novel pose and illumination robust algorithm for face recognition with a single training image per person to solve the above limitations. Experimental results show that the proposed algorithm is an efficient and practical approach for face recognition.

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Received:2007/10/8
Accepted:
Posted online:

Get Citation: Junbao Li, Jeng-Shyang Pan, "A novel pose and illumination robust face recognition with a single training image per person algorithm," Chin. Opt. Lett. 06(04), 255-257-3(2008)

Note: J. Li's e-mail address is junbaolihit@hotmail.com.



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