Improving 2D Face Recognition via Discriminative Face Depth Estimation

@article{Cui2018Improving2F,
  title={Improving 2D Face Recognition via Discriminative Face Depth Estimation},
  author={Jiyun Cui and Hao Zhang and Hu Han and Shiguang Shan and Xilin Chen},
  journal={2018 International Conference on Biometrics (ICB)},
  year={2018},
  pages={140-147}
}
As face recognition progresses from constrained scenarios to unconstrained scenarios, new challenges such as large pose, bad illumination, and partial occlusion, are encountered. While 3D or multi-modality RGB-D sensors are helpful for face recognition systems to achieve robustness against these challenges, the requirement of new sensors limits their application scenarios. In our paper, we propose a discriminative face depth estimation approach to improve 2D face recognition accuracies under… CONTINUE READING