A novel sparse representation method based on virtual samples for face recognition

@article{Tang2012ANS,
  title={A novel sparse representation method based on virtual samples for face recognition},
  author={Deyan Tang and Ningbo Zhu and Fu Yu and Wei Chen and Ting Tang},
  journal={Neural Computing and Applications},
  year={2012},
  volume={24},
  pages={513-519}
}
Though sparse representation (Wagner et al. in IEEE Trans Pattern Anal Mach Intell 34(2):372–386, 2012, CVPR 597–604, 2009) can perform very well in face recognition (FR), it still can be improved. To improve the performance of FR, a novel sparse representation method based on virtual samples is proposed in this paper. The proposed method first extends the training samples to form a new training set by adding random noise to them and then performs FR. As the testing samples can be represented… CONTINUE READING
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