A New Compressive Sensing Method for Face Recognition

@article{Wang2014ANC,
  title={A New Compressive Sensing Method for Face Recognition},
  author={Lijia Wang and Hua Zhang and Zhenjie Wang and Junting Li},
  journal={2014 Seventh International Symposium on Computational Intelligence and Design},
  year={2014},
  volume={1},
  pages={529-532}
}
We propose a compressive sensing based method to recognize face with pose variations. The face recognition framework includes two issues: feature extraction and classification. For feature extraction, we present a random measurement matrix to compress an image from high dimensional space to a low dimensional space. The compressive feature has a powerful discrimination because it can preserve most salient information of the image. Meanwhile, the random measurement matrix requires only a uniform… CONTINUE READING
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