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  4. Geometric Least Squares Fitting of Circle and Ellipse
 
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1999
Journal Article
Title

Geometric Least Squares Fitting of Circle and Ellipse

Abstract
The least squares fitting of geometric features to given points minimizes the squares sum of error-of-fit in predefined measures. By the geometric fitting, the error distances are defined with the orthogonal, or shortest, distances from the given points to the geometric feature to be fitted. For the geometric fitting of circle and ellipse, robust algorithms are proposed which are based on the coordinate descriptions of the corresponding point on the circle/ellipse for the given point, where the connecting line of the two points is the shortest path from the given point to the circle/ellipse.
Author(s)
Ahn, S.J.
Rauh, W.
Journal
International journal of pattern recognition and artificial intelligence  
DOI
10.1142/S0218001499000549
Language
English
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Keyword(s)
  • Orthogonal Distance Fitting

  • Circle Fitting

  • Ellipse Fitting

  • Singular Value Decomposition

  • Nonlinear Least Squares

  • Gauss-Newton iteration

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