On transforming statistical models for non-frontal face verification

@article{Sanderson2006OnTS,
  title={On transforming statistical models for non-frontal face verification},
  author={Conrad Sanderson and Samy Bengio and Yongsheng Gao},
  journal={Pattern Recognition},
  year={2006},
  volume={39},
  pages={288-302}
}
We address the pose mismatch problem which can occur in face verification systems that have only a single (frontal) face image available for training. In the framework of a Bayesian classifier based on mixtures of gaussians, the problem is tackled through extending each frontal face model with artificially synthesized models for non-frontal views. The synthesis methods are based on several implementations of maximum likelihood linear regression (MLLR), as well as standard multi-variate linear… CONTINUE READING
Highly Cited
This paper has 97 citations. REVIEW CITATIONS
55 Citations
59 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 55 extracted citations

98 Citations

01020'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 98 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 59 references

Recent advances in visual and infrared face recognition — a review , Comput

  • J. Heo S. G. Kong, B. R. Abidi, J. Paik, M. A. Abidi
  • Vision Image Understanding
  • 2005

Recent advances in visual and infrared face recognition—a review

  • S. G. Kong, J. Heo, B. R. Abidi, J. Paik, M. A. Abidi
  • Comput. Vision Image Understanding 97 (1)
  • 2005

Similar Papers

Loading similar papers…