Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

@article{Belhumeur1997EigenfacesVF,
  title={Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection},
  author={P. Belhumeur and J. Hespanha and D. Kriegman},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={1997},
  volume={19},
  pages={711-720}
}
We develop a face recognition algorithm which is insensitive to large variation in lighting direction and facial expression. [...] Key Method Rather than explicitly modeling this deviation, we linearly project the image into a subspace in a manner which discounts those regions of the face with large deviation. Our projection method is based on Fisher's linear discriminant and produces well separated classes in a low-dimensional subspace, even under severe variation in lighting and facial expressions.Expand
Sirface vs. Fisherface: recognition using class specific linear projection
Face and facial expression recognition using Extended Locality Preserving Projection
Subspace Approximation of Face Recognition Algorithms: An Empirical Study
Neighbourhood Discriminant Locally Linear Embedding in Face Recognition
  • P. Han, A. Jin, W. Kiong
  • Mathematics
  • 2008 Fifth International Conference on Computer Graphics, Imaging and Visualisation
  • 2008
Mosaicfaces: a discrete representation for face recognition
Face detection in gray scale images using locally linear embeddings
Face recognition using Laplacianfaces
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 49 REFERENCES
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
Eigenfaces for Recognition
Face Recognition: The Problem of Compensating for Changes in Illumination Direction
Human face recognition method based on the statistical model of small sample size
View-based and modular eigenspaces for face recognition
Face recognition under varying pose
  • D. Beymer
  • Computer Science
  • 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
  • 1994
A unified approach to coding and interpreting face images
Dimensionality of illumination in appearance matching
  • S. Nayar, H. Murase
  • Mathematics, Computer Science
  • Proceedings of IEEE International Conference on Robotics and Automation
  • 1996
Automatic recognition of human facial expressions
A low-dimensional representation of human faces for arbitrary lighting conditions
  • Peter W. Hallinan
  • Computer Science
  • 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
  • 1994
...
1
2
3
4
5
...