Detail publikace

New Methods for Face Recognition

ŠŤASTNÝ, J. ŠKORPIL, V.

Originální název

New Methods for Face Recognition

Anglický název

New Methods for Face Recognition

Jazyk

en

Originální abstrakt

The paper describes the PCA (Principal Component Analysis) method and its comparison with a method using a neural network with RBF (Radial Basis Function) for classification over PCA data. The PCA method has a very solid resolution power for a small database and in this paper a database sample is described that contains 4000 images for 40 different people. Using the PCA method is suitable.

Anglický abstrakt

The paper describes the PCA (Principal Component Analysis) method and its comparison with a method using a neural network with RBF (Radial Basis Function) for classification over PCA data. The PCA method has a very solid resolution power for a small database and in this paper a database sample is described that contains 4000 images for 40 different people. Using the PCA method is suitable.

Dokumenty

BibTex


@inproceedings{BUT35609,
  author="Jiří {Šťastný} and Vladislav {Škorpil}",
  title="New Methods for Face Recognition",
  annote="The paper describes the PCA (Principal Component Analysis) method and its comparison with a method using a neural network with RBF (Radial Basis Function) for classification over PCA data. The PCA method has a very solid resolution power for a small database and in this paper a database sample is described that contains 4000 images for 40 different people. Using the PCA method is suitable.",
  address="Asszistencia",
  booktitle="Proceedings of 33th International Conference on Telecommunications and Signal Processing",
  chapter="35609",
  howpublished="print",
  institution="Asszistencia",
  year="2010",
  month="august",
  pages="156--159",
  publisher="Asszistencia",
  type="conference paper"
}