Detecting regular structures for invariant retrieval

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Many of the existing approaches to invariant content-based image retrieval rely on local features, such as color or specific intensity patterns (interest points). In some methods, structural content is introduced by using particular spatial configurations of these features, which are typical for the pattern considered. Such approaches are limited in their capability to deal with regular structures when high degree of invariance is required. Recently, we have proposed a general measure of pattern regularity [2] that is stable under weak perspective of non-flat patterns and varying illumination. In this paper we apply this measure to invariant detection of regular structures in aerial imagery.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages459-466
Number of pages8
Volume1614
ISBN (Print)3540660798, 9783540660798
Publication statusPublished - 1999
Event3rd International Conference on Visual Information Systems, VISUAL 1999 - Amsterdam, Netherlands
Duration: Jun 2 1999Jun 4 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1614
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Conference on Visual Information Systems, VISUAL 1999
CountryNetherlands
City Amsterdam
Period6/2/996/4/99

Fingerprint

Image retrieval
Invariance
Retrieval
Lighting
Antennas
Color
Invariant
Content-based Image Retrieval
Local Features
Illumination
Regularity
Configuration

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Chetverikov, D. (1999). Detecting regular structures for invariant retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1614, pp. 459-466). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1614). Springer Verlag.

Detecting regular structures for invariant retrieval. / Chetverikov, D.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1614 Springer Verlag, 1999. p. 459-466 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1614).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chetverikov, D 1999, Detecting regular structures for invariant retrieval. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1614, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1614, Springer Verlag, pp. 459-466, 3rd International Conference on Visual Information Systems, VISUAL 1999, Amsterdam, Netherlands, 6/2/99.
Chetverikov D. Detecting regular structures for invariant retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1614. Springer Verlag. 1999. p. 459-466. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Chetverikov, D. / Detecting regular structures for invariant retrieval. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1614 Springer Verlag, 1999. pp. 459-466 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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