Publication detail

FACE RECOGNITION BY MEANS OF NEW ALGORITHMS

BOHÁČ, M. LÝSEK, J. MOTYČKA, A. CEPL, M.

English title

FACE RECOGNITION BY MEANS OF NEW ALGORITHMS

Type

Paper in proceedings (conference paper)

Language

en

Original abstract

This contribution describes new methods of face recognition. The methods Principal Component Analysis (PCA) and Evolutionary Principal Component Analysis (EPCA) with genetic algorithm (GA) are described and implemented. The Radial Basis Function (RBF) neural network is used in the way of classifier and genetic algorithm is used for RBF neural network training in one case and for selecting eigenvectors from PCA method in other case. Evolutionary PCA with genetic algorithm outperform other methods tested in this project on the testing database

Keywords in English

face recognition, principal component analysis, radial basis neural network, genetic algorithm

Released

2011-06-08

ISBN

978-80-214-4302-0

Book

Mendel 2011

Pages from–to

324–329

Pages count

6

BIBTEX


@inproceedings{BUT74826,
  author="Martin {Boháč} and Jiří {Lýsek} and Arnošt {Motyčka} and Miroslav {Cepl}",
  title="FACE RECOGNITION BY MEANS OF NEW ALGORITHMS",
  booktitle="Mendel 2011",
  year="2011",
  pages="324--329",
  isbn="978-80-214-4302-0"
}