Reducing the feature vector length in local binary pattern based face recognition

@article{Lahdenoja2005ReducingTF,
  title={Reducing the feature vector length in local binary pattern based face recognition},
  author={Olli Lahdenoja and Mika Laiho and Ari Paasio},
  journal={IEEE International Conference on Image Processing 2005},
  year={2005},
  volume={2},
  pages={II-914}
}
In this paper we propose a method for reducing the length of the feature vectors in the local binary pattern (LBP) based face recognition. This is done to speed up the matching of the feature vectors in real-time face recognition and detection systems. We define a new discrimination concept of the uniform local binary patterns called symmetry. Patterns are assigned different levels of symmetry based on the number of ones or zeros they contain. These symmetry levels are rotation invariant… CONTINUE READING

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