Earticle

초록

영어

From the recent diversity of face recognition applications, it can be concluded that studies on face recognition are being actively conducted. However, high-performance algorithms sometimes cannot be adopted because of environmental reasons such as pose variation of targets or lighting conditions at the outdoor CCTV. Further, a low-resolution CCTV image cannot be used for an appearance-based high-performance method. Therefore, we consider pixel-based face recognition methods as CCTV applications. Before applying the methods, a Retinex-based illumination normalization method is used. The methods are applied with various facial poses, and three kinds of face recognition methods are comparatively analyzed in this paper. The experimental results showed that linear discriminant analysis exhibited the best performance as the matching method taking into consideration various facial poses.

목차

Abstract
 1. Introduction
 2. Used Methods
  2.1. Illumination Normalization
  2.2. PCA Face Recognition Method
  2.3. LDA Face Recognition Method
  2.4. LBP Face Recognition Method
 3. Experimental Result
 4. Conclusion
 Acknowledgement
 References

키워드

저자

• Unsoo Jang [ Department of Computer Science, Graduate School, Sangmyung University, Seoul, Republic of Korea ]
• Eui Chul Lee [ Department of Computer Science, Sangmyung University, Seoul, Republic of Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605