Corpus ID: 6415680

Robust Face Recognition by Constrained Part-based Alignment

@article{Zhang2015RobustFR,
  title={Robust Face Recognition by Constrained Part-based Alignment},
  author={Y. Zhang and Kui Jia and Yueming Wang and Gang Pan and Tsung-Han Chan and Y. Ma},
  journal={ArXiv},
  year={2015},
  volume={abs/1501.04717}
}
Developing a reliable and practical face recognition system is a long-standing goal in computer vision research. Existing literature suggests that pixel-wise face alignment is the key to achieve high-accuracy face recognition. By assuming a human face as piece-wise planar surfaces, where each surface corresponds to a facial part, we develop in this paper a Constrained Part-based Alignment (CPA) algorithm for face recognition across pose and/or expression. Our proposed algorithm is based on a… Expand

References

SHOWING 1-10 OF 48 REFERENCES
Face recognition under varying pose
  • D. Beymer
  • Computer Science
  • 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
  • 1994
Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation
Locally Linear Regression for Pose-Invariant Face Recognition
Fully automatic pose-invariant face recognition via 3D pose normalization
Energy Normalization for Pose-Invariant Face Recognition Based on MRF Model Image Matching
Robust Face Recognition via Sparse Representation
A deformation and lighting insensitive metric for face recognition based on dense correspondences
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
Tied Factor Analysis for Face Recognition across Large Pose Differences
...
1
2
3
4
5
...