Face recognition under varying lighting conditions using self quotient image

  • Authors:
  • Haitao Wang;Stan Z. Li;Yangsheng Wang

  • Affiliations:
  • Institute of Automation, Chinese Academy of Sciences, Beijing, China;Beijing Sigma Center, Microsoft Research Asia, Beijing, China;Institute of Automation, Chinese Academy of Sciences, Beijing, China

  • Venue:
  • FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
  • Year:
  • 2004

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Abstract

In this paper, we introduce the concept of Self-Quotient Image (SQI) for robust face recognition under varying lighting conditions. It is based on the Quotient Image method [4][5] to achieve lighting invariant. However, the SQI has three advantages: (1) It needs only one face image for extraction of intrinsic lighting invariant property of a face while removing extrinsic factor corresponding to the lighting. (2)No alignment is needed. (3) It works in shadow regions. The theoretical analysis on conditions where the algorithm is applicable and a non-iterative filtering algorithm for computing SQI are presented. Experiment results demonstrate the effectiveness of our method for robust face recognition under varying lighting conditions.