Detail publikačního výsledku

Neural network for classifying faces by gender

HABR, M., ŠTEFÍČEK, R.

Originální název

Neural network for classifying faces by gender

Anglický název

Neural network for classifying faces by gender

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

In this paper we present an overview of the using of the Principal components analysis for face recognition using neural networks. Using gender as discriminative features improve the classification robustness. As we show the faces are different only by one eigenvector. By changing one of the eigenvectors we can generate a different person-image. This property will be used for classification face images by gender.

Anglický abstrakt

In this paper we present an overview of the using of the Principal components analysis for face recognition using neural networks. Using gender as discriminative features improve the classification robustness. As we show the faces are different only by one eigenvector. By changing one of the eigenvectors we can generate a different person-image. This property will be used for classification face images by gender.

Klíčová slova v angličtině

neural networks, principal components analysis, eigenvector, face classification

Autoři

HABR, M., ŠTEFÍČEK, R.

Vydáno

05.09.2002

Místo

Brno

ISBN

80-214-2172-X

Kniha

Telecommunications and Signal Processing

Strany od

134

Strany počet

4

BibTex

@inproceedings{BUT5309,
  author="Martin {Habr} and Richard {Štefíček}",
  title="Neural network for classifying faces by gender",
  booktitle="Telecommunications and Signal Processing",
  year="2002",
  pages="4",
  address="Brno",
  isbn="80-214-2172-X"
}