• DocumentCode
    1533486
  • Title

    A new one-parametric fitting method for planar objects

  • Author

    Voss, Klaus ; Suesse, Herbert

  • Author_Institution
    Dept. of Comput. Sci., Friedrich-Schiller-Univ., Jena, Germany
  • Volume
    21
  • Issue
    7
  • fYear
    1999
  • fDate
    7/1/1999 12:00:00 AM
  • Firstpage
    646
  • Lastpage
    651
  • Abstract
    This paper is an extension of the already published paper by Voss and Suesse (1997). We developed a new region-based fitting method using the method of normalization. There we demonstrated the zero-parametric fitting of lines, triangles, parallelograms, circles, and ellipses. We discuss this normalization idea for fitting of closed regions using circular segments, elliptical segments, and super-ellipses. As features, we use the area-based low order moments. We show that we have to solve only one-dimensional optimization problems in these cases
  • Keywords
    curve fitting; method of moments; optimisation; pattern recognition; canonical frame; ellipses; low order moments; normalization; optimization; parametric fitting; planar objects; region-based fitting; Extraterrestrial measurements; Least squares approximation; Least squares methods; Multidimensional systems; Parameter estimation; Prototypes; Shape;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.777376
  • Filename
    777376