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Communication Dans Un Congrès Année : 2009

Illumination-robust face recognition using retina modeling

Son Vu
  • Fonction : Auteur

Résumé

Illumination variations that occur on face images degrade the performances of face recognition systems. In this paper, we propose a novel method of illumination normalization based on retina modeling by combining two adaptive nonlinear functions and a Difference of Gaussians filter. The proposed algorithm is evaluated on the Yale B database, the Feret illumination database by using two face recognition methods: PCA and Local Binary Pattern (LBP). Experimental results show that the proposed method achieves very high recognition rates even for the most challenging illumination conditions. Our algorithm has also a low computational complexity
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Dates et versions

hal-00421142 , version 1 (30-09-2009)

Identifiants

  • HAL Id : hal-00421142 , version 1

Citer

Son Vu, Alice Caplier. Illumination-robust face recognition using retina modeling. ICIP 2009 - 16th IEEE International Conference on Image Processing, Nov 2009, Le Caire, Egypt. ⟨hal-00421142⟩
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