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Lighting Coefficients Transfer Based Face Illumination Normalization

  • Yuelong Li
  • Li Meng
  • Jufu Feng
Part of the Communications in Computer and Information Science book series (CCIS, volume 321)

Abstract

In this paper, a linear representation based face illumination normalization method is put forward. According to the Lambertian reflectance model, the specific illumination of a face image is determined linearly by a three-dimensional light source orientation vector. Based on the energy function proposed by the Quotient Image approach, we propose a two-step iterative optimization strategy to work out this three-dimensional face illumination representation coefficient vector. Then the neural illumination description coefficients learned from training set are transferred into each face image captured under arbitrary lighting condition to uniform face illumination. Our approach could effectively reduce the disturbance of varying illumination to recognition accuracy. The effectiveness of the proposed method is evaluated on the Extended Yale B database.

Keywords

illumination normalization face recognition Lambertain reflectance surface linear lighting description illumination transfer 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Yuelong Li
    • 1
  • Li Meng
    • 2
  • Jufu Feng
    • 3
  1. 1.School of Computer Science and Software EngineeringTianjin Polytechnic UniversityTianjinChina
  2. 2.Automobile Transport Command DepartmentMilitary Transportation UniversityTianjinChina
  3. 3.Key Laboratory of Machine Perception (MOE), School of Electronics Engineering and Computer SciencePeking UniversityBeijingChina

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