Regularized polygonal approximation for analysis and interpretation of planar contour figures

Koichiro Deguchi, Shin Aoki

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - International Conference on Pattern Recognition
出版社Publ by IEEE
ページ865-869
ページ数5
ISBN(印刷版)0818620625
出版ステータスPublished - 1990 12 1
イベントProceedings of the 10th International Conference on Pattern Recognition - Atlantic City, NJ, USA
継続期間: 1990 6 161990 6 21

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
1

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

引用スタイル