Detail publikace

FACE RECOGNITION BY MEANS OF NEW ALGORITHMS

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

Originální název

FACE RECOGNITION BY MEANS OF NEW ALGORITHMS

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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

Klíčová slova

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

Autoři

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

Rok RIV

2011

Vydáno

8. 6. 2011

ISBN

978-80-214-4302-0

Kniha

Mendel 2011

Strany od

324

Strany do

329

Strany počet

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"
}