Publication result detail

Nontraditional Algorithms for Object Recognition

ŠŤASTNÝ, J.; ŠKORPIL, V.

Original Title

Nontraditional Algorithms for Object Recognition

English Title

Nontraditional Algorithms for Object Recognition

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

This contribution deals with problems of algorithms for object identification. Three basic algorithms are described - identification with the aid of the momentum method, identification with the aid of syntatic analysis and identification with the aid of neural network algorithm with back-propagation. Finally, speed and applicability of these algorithms are compared.

English abstract

This contribution deals with problems of algorithms for object identification. Three basic algorithms are described - identification with the aid of the momentum method, identification with the aid of syntatic analysis and identification with the aid of neural network algorithm with back-propagation. Finally, speed and applicability of these algorithms are compared.

Keywords

Invariant Moments, Syntactical Analysis, Primitives, Neural Network

Key words in English

Invariant Moments, Syntactical Analysis, Primitives, Neural Network

Authors

ŠŤASTNÝ, J.; ŠKORPIL, V.

RIV year

2010

Released

08.02.2008

Publisher

Technical University Kosice

Location

Košice

ISBN

1335-2393

Periodical

Acta Mechanica Slovaca

Volume

12

Number

1-A/2008

State

Slovak Republic

Pages from

135

Pages to

139

Pages count

5

BibTex

@article{BUT48415,
  author="Jiří {Šťastný} and Vladislav {Škorpil}",
  title="Nontraditional Algorithms for Object Recognition",
  journal="Acta Mechanica Slovaca",
  year="2008",
  volume="12",
  number="1-A/2008",
  pages="135--139",
  issn="1335-2393"
}