Support vector machines for face authentication

@article{Jonsson2002SupportVM,
  title={Support vector machines for face authentication},
  author={Kenneth Jonsson and Josef Kittler and Yongping Li and Jiri Matas},
  journal={Image Vision Comput.},
  year={2002},
  volume={20},
  pages={369-375}
}
The paper studies Support Vector Machines (SVMs) in the context of face authentication. Our study supports the hypothesis that the SVM approach is able to extract the relevant discriminatory information from the training data. We believe this is the main reason for its superior performance over benchmark methods. When the representation space already captures and emphasises the discriminatory information content as in the case of Fisherfaces, SVMs loose their superiority. SVMs can also cope… CONTINUE READING

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