Lower Resolution Face Recognition in Surveillance Systems Using Discriminant Correlation Analysis

@article{Haghighat2017LowerRF,
  title={Lower Resolution Face Recognition in Surveillance Systems Using Discriminant Correlation Analysis},
  author={M. Haghighat and M. Abdel-Mottaleb},
  journal={2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)},
  year={2017},
  pages={912-917}
}
  • M. Haghighat, M. Abdel-Mottaleb
  • Published 2017
  • Computer Science
  • 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)
  • Due to large distances between surveillance cameras and subjects, the captured images usually have low resolution in addition to uncontrolled poses and illumination conditions that adversely affect the performance of face recognition algorithms. In this paper, we present a low-resolution face recognition technique based on Discriminant Correlation Analysis (DCA). DCA analyzes the correlation of the features in high-resolution and low-resolution images and aims to find projections that maximize… CONTINUE READING
    21 Citations
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