Parallel Image Matrix Compression for Face Recognition

@article{Xu2005ParallelIM,
  title={Parallel Image Matrix Compression for Face Recognition},
  author={Dong Xu and Shuicheng Yan and Lei Zhang and Mingjing Li and Wei-Ying Ma and Zhengkai Liu and HongJiang Zhang},
  journal={11th International Multimedia Modelling Conference},
  year={2005},
  pages={232-238}
}
The canonical face recognition algorithm Eigenface and Fisherface are both based on one dimensional vector representation. However, with the high feature dimensions and the small training data, face recognition often suffers from the curse of dimension and the small sample problem. Recent research [4] shows that face recognition based on direct 2D matrix representation, i.e. 2DPCA, obtains better performance than that based on traditional vector representation. However, there are three… CONTINUE READING

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