The nearest-farthest subspace classification for face recognition

@article{Mi2013TheNS,
  title={The nearest-farthest subspace classification for face recognition},
  author={Jian-Xun Mi and De-shuang Huang and Bing Wang and Xingjie Zhu},
  journal={Neurocomputing},
  year={2013},
  volume={113},
  pages={241-250}
}
The nearest subspace (NS) classification is an efficient method to solve face recognition problem by using the linear regression technique. This method is based on the assumption that face images from a specific subject class tend to span a unique subspace, i.e. a class-specific subspace. Then, a test image has the shortest distance from its own class-specific subspace. In this paper, we present a novel idea for spanned by all training images except the images from the class of this test image… CONTINUE READING

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