Advertisement

Supervised Deep Learning in Face Recognition

  • M. Arif Wani
  • Farooq Ahmad Bhat
  • Saduf Afzal
  • Asif Iqbal Khan
Chapter
Part of the Studies in Big Data book series (SBD, volume 57)

Abstract

The three main challenging problems in face recognition, i.e., recognizing a face with different expressions, recognizing a face under different lighting conditions, and recognizing a face in different poses are considered here. In recent years, Convolutional Neural Network (CNN) has been widely applied to face recognition problem because of its good performance. The application of CNN architectures for the above three challenging problems is discussed in this chapter.

Bibliography

  1. Bhat, F.A., Wani, M.A.: Performance comparison of major classical face recognition techniques. In: 2014 13th International Conference on Machine Learning and Applications (ICMLA), IEEE (2014)Google Scholar
  2. Bhat, F.A., Wani, M.A.: Face recognition using convolutional neural network. In: 2017 4th International Conference on Computing for Sustainable Global Development (INDIACom), pp. 460–464, IEEE (2017)Google Scholar
  3. Bhat, F.A., Wani, M.A.: A robust face recognition model based on convolutional neural networks. J. Artif. Intell. Res. Adv. 5(1), 1–11 (2018)Google Scholar
  4. Parkhi, O.M., Vedaldi, A., Zisserman, A.: Deep face recognition. BMVC 1(3) (2015)Google Scholar
  5. Sun, Y., Wang, X., Tang, X.: Deep learning face representation from predicting 10,000 classes. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2014a)Google Scholar
  6. Sun, Y., et al.: Deep learning face representation by joint identification-verification. In: Advances in Neural Information Processing Systems (2014b)Google Scholar
  7. Sun, Y., Wang, X., Tang, X.: Deeply learned face representations are sparse, selective, and robust. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2015)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • M. Arif Wani
    • 1
  • Farooq Ahmad Bhat
    • 2
  • Saduf Afzal
    • 3
  • Asif Iqbal Khan
    • 4
  1. 1.Department of Computer SciencesUniversity of KashmirSrinagarIndia
  2. 2.Education DepartmentGovernment of Jammu and KashmirKashmirIndia
  3. 3.Islamic University of Science and TechnologyKashmirIndia
  4. 4.Department of Computer SciencesUniversity of KashmirSrinagarIndia

Personalised recommendations