Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition

@article{Yan2014MultiSubregionBC,
  title={Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition},
  author={Yan Yan and Hanzi Wang and David Suter},
  journal={Pattern Recognition},
  year={2014},
  volume={47},
  pages={3487-3501}
}
In this paper, we propose an effective feature extraction algorithm, called Multi-Subregion based Correlation Filter Bank (MS-CFB), for robust face recognition. MS-CFB combines the benefits of global-based and local-based feature extraction algorithms, where multiple correlation filters corresponding to different face subregions are jointly designed to optimize the overall correlation outputs. Furthermore, we reduce the computational complexity of MS-CFB by designing the correlation filter bank… CONTINUE READING