Sparse discriminative multi-manifold embedding for one-sample face identification

@article{Zhang2016SparseDM,
  title={Sparse discriminative multi-manifold embedding for one-sample face identification},
  author={Pengyue Zhang and Xinge You and Weihua Ou and C. L. Philip Chen and Yiu-ming Cheung},
  journal={Pattern Recognition},
  year={2016},
  volume={52},
  pages={249-259}
}
In this paper, we study the problem of face identification from only one training sample per person (OSPP). For a face identification system, the most critical obstacles towards real-world applications are often caused by the disguised, corrupted and varying illuminated images in limited sample sets. Meanwhile, storing fewer training samples would essentially reduce the cost for collecting, storing and processing data. Unfortunately, most methods in the literature basically need large training… CONTINUE READING
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