An area-based shape representation for affine invariant content-based retrieval

H. S Ip Horace, Dinggang Shen, Wai Him Wong, Ken C K Law

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

1 Citation (Scopus)

Abstract

In this paper, we present an area-based affine invariant representation of shapes and a point-correspondence algorithm which supports multi-scale similarity matching for shape-based retrieval. This method is affine invariant and stable against noise and shape deformations. Since the area-based representation scheme simultaneously captures both local and global affine invariant features of shapes, it makes the solution to the correspondence problem very robust.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages132-142
Number of pages11
Volume1464
ISBN (Print)3540648267, 9783540648260
DOIs
Publication statusPublished - 1998
Externally publishedYes
EventIAPR International Workshop on Multimedia Information Analysis and Retrieval, MINAR 1998 - Hong Kong, China
Duration: 1998 Aug 131998 Aug 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1464
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherIAPR International Workshop on Multimedia Information Analysis and Retrieval, MINAR 1998
CountryChina
CityHong Kong
Period98/8/1398/8/14

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Horace, H. S. I., Shen, D., Wong, W. H., & Law, K. C. K. (1998). An area-based shape representation for affine invariant content-based retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1464, pp. 132-142). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1464). Springer Verlag. https://doi.org/10.1007/BFb0016494