Part-based Face Recognition Using Near Infrared Images

  title={Part-based Face Recognition Using Near Infrared Images},
  author={Ke Pan and Shengcai Liao and Zhijian Zhang and Stan Z. Li and Peiren Zhang},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
Recently, the authors developed NIR based face recognition for highly accurate face recognition under illumination variations. In this paper, we present a part-based method for improving its robustness with respect to pose variations. An NIR face is decomposed into parts. A part classifier is built for each part, using the most discriminative LBP histogram features selected by AdaBoost learning. The outputs of part classifiers are fused to give the final score. Experiments show that the present… CONTINUE READING
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