Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance

@article{Liu2006CapitalizeOD,
  title={Capitalize on dimensionality increasing techniques for improving face recognition grand challenge performance},
  author={C. Liu},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2006},
  volume={28},
  pages={725-737}
}
  • C. Liu
  • Published 2006
  • Mathematics, Medicine, Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representation, a novel multiclass kernel Fisher analysis (KFA) method, and fractional power polynomial models for improving pattern recognition performance. Gabor image representation, which increases dimensionality by incorporating Gabor filters with different scales and orientations, is characterized by spatial frequency… Expand
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