Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Eigenvalue Regularization for Improving Nonlinear LDA in Face Recognition

얼굴인식에서의 고유값 조정을 통한 비선형 판별 분석의 향상

  • Kim, Sang-Ki (School of Electrical and Electronic Engineering Yonsei University) ;
  • Lee, Hyo-Bin (School of Electrical and Electronic Engineering Yonsei University) ;
  • Kim, Seong-Wan (School of Electrical and Electronic Engineering Yonsei University) ;
  • Lee, Sang-Youn (School of Electrical and Electronic Engineering Yonsei University)
  • 김상기 (연세대학교 전기전자공학과) ;
  • 이효빈 (연세대학교 전기전자공학과) ;
  • 김성완 (연세대학교 전기전자공학과) ;
  • 이상윤 (연세대학교 전기전자공학과)
  • Published : 2008.06.18
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Abstract

In this paper, we introduce a novel variant of LDA for face renition. The proposed method is derived by regularizing the eigenvalue of nonlinear LDA. We evaluated the proposed method using AR face database, and it showed outstanding and stable performance over the preceding LDA variants.

Keywords