Model-based partial shape recognition using contour curvature and affine transformation

Frank Y. Shih, Pingchang Yeh

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

1 Scopus citations

Abstract

The authors present a novel technique for recognizing partially obscured and overlapping objects by using the contour curvature and affine transformation. This technique is based on the use of an invariant attribute of an object, called a footprint, for the purpose of hashing. The recognition strategy is to match the given contour curve against all model objects and select the best matching. The recognition procedures are divided into reading each object picture, retrieving a footprint, building a model objects database, finding break points, and matching. Associated techniques, such as border tracking with chain code, setting a footprint hashing table, and connecting an orientational linked list, are also discussed.

Original languageEnglish (US)
Title of host publicationProc First Int Conf Syst Integr ICSI 90
PublisherPubl by IEEE
Pages294-301
Number of pages8
ISBN (Print)0818690275
StatePublished - Dec 1 1990
EventProceedings of the First International Conference on Systems Integration - ICSI '90 - Morristown, NJ, USA
Duration: Apr 23 1990Apr 26 1990

Publication series

NameProc First Int Conf Syst Integr ICSI 90

Other

OtherProceedings of the First International Conference on Systems Integration - ICSI '90
CityMorristown, NJ, USA
Period4/23/904/26/90

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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