Regularized polygonal approximation for analysis and interpretation of planar contour figures

Koichiro Deguchi, Shin Aoki

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

5 Citations (Scopus)

Abstract

A method for approximating contour figures with piecewise-linear polygons using a criterion function based on regularization theory is presented. In this method, it is possible to select the degree of fineness of the approximation to a given contour figure with a parameter in the criterion function, which represents a tradeoff between the fitness and the simplicity of the polygonal model. However, it is shown that, for a given figure, only a few types of stable models optimize the criterion with a variety of values of the parameter. This means that only a few types of polygons may be suitable approximations for representing the original characteristic features of the figure. This method derives such polygons automatically from the given figures. Thus, this approach shows potential as a powerful method for the analysis and interpretation of planar contour figures.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherPubl by IEEE
Pages865-869
Number of pages5
ISBN (Print)0818620625
Publication statusPublished - 1990 Dec 1
EventProceedings of the 10th International Conference on Pattern Recognition - Atlantic City, NJ, USA
Duration: 1990 Jun 161990 Jun 21

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume1

Other

OtherProceedings of the 10th International Conference on Pattern Recognition
CityAtlantic City, NJ, USA
Period90/6/1690/6/21

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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