A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection

@article{Kim2008ANB,
  title={A New Biased Discriminant Analysis Using Composite Vectors for Eye Detection},
  author={Chunghoon Kim and Sang-Il Choi and Matthew Turk and Chong-Ho Choi},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2008},
  volume={42},
  pages={1095-1106}
}
We propose a new biased discriminant analysis (BDA) using composite vectors for eye detection. A composite vector consists of several pixels inside a window on an image. The covariance of composite vectors is obtained from their inner product and can be considered as a generalization of the covariance of pixels. The proposed composite BDA (C-BDA) method is a BDA using the covariance of composite vectors. We construct a hybrid cascade detector for eye detection, using Haar-like features in the… CONTINUE READING

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Pattern recognition using composite features

  • C. Kim
  • Ph.D. dissertation, Seoul Nat. Univ., Seoul…
  • 2007
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