Publication result detail

Using Structural Methods for Deformed Objects Recognition

ŠŤASTNÝ, J.; MINAŘÍK, M.

Original Title

Using Structural Methods for Deformed Objects Recognition

English Title

Using Structural Methods for Deformed Objects Recognition

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

The paper discusses methods of recognition randomly deformed object. Initially, methods of syntactic analysis of non-deformed objects are described. Further, structural methods of recognition of randomly deformed objects are described, i.e. use of methods for determination of distance between attribute description of images and deformation grammar. At last, results of this method are evaulated.

English abstract

The paper discusses methods of recognition randomly deformed object. Initially, methods of syntactic analysis of non-deformed objects are described. Further, structural methods of recognition of randomly deformed objects are described, i.e. use of methods for determination of distance between attribute description of images and deformation grammar. At last, results of this method are evaulated.

Keywords

grammar, primitive, pattern recognition, syntactic analysis, top-down parsing, bottom-up parsing, object deformation, string metrics.

Key words in English

grammar, primitive, pattern recognition, syntactic analysis, top-down parsing, bottom-up parsing, object deformation, string metrics.

Authors

ŠŤASTNÝ, J.; MINAŘÍK, M.

RIV year

2010

Released

04.12.2008

ISBN

1802-3525

Periodical

Cybernetic Letters

Volume

2008

Number

Special

State

Czech Republic

Pages from

1

Pages to

5

Pages count

5

BibTex

@article{BUT47482,
  author="Jiří {Šťastný} and Martin {Minařík}",
  title="Using Structural Methods for Deformed Objects Recognition",
  journal="Cybernetic Letters",
  year="2008",
  volume="2008",
  number="Special",
  pages="1--5",
  issn="1802-3525"
}