Towards Pose Invariant Face Recognition in the Wild

@article{Zhao2018TowardsPI,
  title={Towards Pose Invariant Face Recognition in the Wild},
  author={Jian Zhao and Yu Cheng and Yan Xu and Lin Xiong and Fang Zhao and Menakadevi Nanjundan and Sugiri Pranata and Shengmei Shen and Junliang Xing and Shuicheng Yan and Jiashi Feng},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={2207-2216}
}
Pose variation is one key challenge in face recognition. As opposed to current techniques for pose invariant face recognition, which either directly extract pose invariant features for recognition, or first normalize profile face images to frontal pose before feature extraction, we argue that it is more desirable to perform both tasks jointly to allow them to benefit from each other. To this end, we propose a Pose Invariant Model (PIM) for face recognition in the wild, with three distinct… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 13 CITATIONS

References

Publications referenced by this paper.
SHOWING 1-10 OF 39 REFERENCES

Multi-pie

  • R. Gross, I. Matthews, J. Cohn, T. Kanade, S. Baker
  • JIVC, 28(5):807–813
  • 2010
Highly Influential
7 Excerpts

Similar Papers

Loading similar papers…