Face Image Quality Assessment Based on Learning to Rank

  title={Face Image Quality Assessment Based on Learning to Rank},
  author={Jiansheng Chen and Yu Deng and Gaocheng Bai and Guangda Su},
  journal={IEEE Signal Processing Letters},
Face image quality is an important factor affecting the accuracy of automatic face recognition. It is usually possible for practical recognition systems to capture multiple face images from each subject. Selecting face images with high quality for recognition is a promising stratagem for improving the system performance. We propose a learning to rank based framework for assessing the face image quality. The proposed method is simple and can adapt to different recognition methods. Experimental… CONTINUE READING
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