The FrFT convolutional face: toward robust face recognition using the fractional Fourier transform and convolutional neural networks

  • Xin Wu
  • Ran TaoEmail author
  • Danfeng Hong
  • Yue Wang



This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61421001, U1833203).


  1. 1.
    Hong D F, Liu W Q, Su J, et al. A novel hierarchical approach for multispectral palmprint recognition. Neurocomputing, 2015, 151: 511–521CrossRefGoogle Scholar
  2. 2.
    Li X L, Cui G S, Dong Y S. Discriminative and orthogonal subspace constraints-based nonnegative matrix factorization. ACM Trans Intell Syst Technol, 2018, 9: 1–24Google Scholar
  3. 3.
    Hong D F, Liu W Q, Wu X, et al. Robust palmprint recognition based on the fast variation Vese-Osher model. Neurocomputing, 2016, 174: 999–1012CrossRefGoogle Scholar
  4. 4.
    Li X L, Cui G S, Dong Y S. Graph regularized nonnegative low-rank matrix factorization for image clustering. IEEE Trans Cybern, 2017, 47: 3840–3853MathSciNetCrossRefGoogle Scholar
  5. 5.
    Li X L, Lu Q M, Dong Y S, et al. SCE: a manifold regularized set-covering method for data partitioning. IEEE Trans Neural Netw Learn Syst, 2018, 29: 1760–1773MathSciNetCrossRefGoogle Scholar
  6. 6.
    Li X L, Cui G S, Dong Y S. Refined-graph regularization-based nonnegative matrix factorization. ACM Trans Intell Syst Technol, 2017, 9: 1–21Google Scholar
  7. 7.
    Wang X, Qi L, Tie Y, et al. Face recognition based on the band fusion of generalized phase spectrum of 2D-FrFT. In: Proceedings of the International Conference on Graphics and Image Processing (ICGIP), 2016. 685: 137–145Google Scholar
  8. 8.
    Lecun Y, Bottou L, Bengio Y, et al. Gradient-based learning applied to document recognition. Proc IEEE, 1998, 86: 2278–2324CrossRefGoogle Scholar
  9. 9.
    Hong D F, Yokoya N, Xu J, et al. Joint & progressive learning from high-dimensional data for multi-label classification. In: Proceedings of the European Conference on Computer Vision (ECCV), 2018. 469–484Google Scholar

Copyright information

© Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.The School of Information and ElectronicsBeijing Institute of TechnologyBeijingChina
  2. 2.Beijing Key Laboratory of Fractional Signals and SystemsBeijing Institute of TechnologyBeijingChina
  3. 3.Remote Sensing Technology Institute (IMF)German Aerospace Center (DLR)WesslingGermany
  4. 4.Signal Processing in Earth Observation (SiPEO)Technical University of Munich (TUM)MunichGermany

Personalised recommendations