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: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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 publicationMultimedia Information Analysis and Retrieval
Subtitle of host publicationIAPR International Workshop, MINAR 1998, Proceedings
EditorsHorace H.S. Ip, Arnold W.M. Smeulders
PublisherSpringer Verlag
Pages132-142
Volume1464
ISBN (Print)3540648267, 9783540648260
DOIs
Publication statusPublished - 1998
EventIAPR International Workshop on Multimedia Information Analysis and Retrieval (MINAR'98) - Hong Kong, China
Duration: 13 Aug 199814 Aug 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1464
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Workshop

WorkshopIAPR International Workshop on Multimedia Information Analysis and Retrieval (MINAR'98)
Country/TerritoryChina
CityHong Kong
Period13/08/9814/08/98

Fingerprint

Dive into the research topics of 'An area-based shape representation for affine invariant content-based retrieval'. Together they form a unique fingerprint.

Cite this