Publication result detail

New Methods for Face Recognition

ŠŤASTNÝ, J.; ŠKORPIL, V.

Original Title

New Methods for Face Recognition

English Title

New Methods for Face Recognition

Type

Paper in proceedings (conference paper)

Original Abstract

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.

English abstract

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.

Keywords

Algorithms, Image analysis, Neural networks, Object recognition

Key words in English

Algorithms, Image analysis, Neural networks, Object recognition

Authors

ŠŤASTNÝ, J.; ŠKORPIL, V.

RIV year

2012

Released

20.08.2010

Publisher

Asszistencia

Location

Baden near Vienna

ISBN

978-963-88981-0-4

Book

Proceedings of 33th International Conference on Telecommunications and Signal Processing

Pages from

156

Pages to

159

Pages count

4

BibTex

@inproceedings{BUT35609,
  author="Jiří {Šťastný} and Vladislav {Škorpil}",
  title="New Methods for Face Recognition",
  booktitle="Proceedings of 33th International Conference on Telecommunications and Signal Processing",
  year="2010",
  number="1",
  pages="156--159",
  publisher="Asszistencia",
  address="Baden near Vienna",
  isbn="978-963-88981-0-4"
}