Dynamic training using multistage clustering for face recognition

@article{Kyperountas2008DynamicTU,
  title={Dynamic training using multistage clustering for face recognition},
  author={Marios Kyperountas and Anastasios Tefas and Ioannis Pitas},
  journal={Pattern Recognition},
  year={2008},
  volume={41},
  pages={894-905}
}
A novel face recognition algorithm that uses dynamic training in a multistage clustering scheme is presented and evaluated. This algorithm uses discriminant analysis to project the face classes and a clustering algorithm to partition the projected face data, thus forming a set of discriminant clusters. Then, an iterative process creates subsets, whose cardinality is defined by an entropy-based measure, that contain the most useful clusters. The best match to the test face is found when only a… CONTINUE READING
Highly Cited
This paper has 22 citations. REVIEW CITATIONS