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
© 2014 Alexandra Malyugina, Konstantin Igudesman and Dmitry Chickrin. This paper deals with the prob...
Fitting of data points by parametric curves and surfaces is demanded in many scientific fields. In t...
This work presents a new efficient method for fitting ellipses to scattered data. Previous algorithm...
The least squares fitting of geometric features to given points minimizes the squares sum of error-o...
The least squares fitting of geometric features to given points minimizes the squares sum of error-o...
The least squares fitting minimizes the squares sum of error-of-fit in predefined measures. By the g...
The least-squares fitting minimizes the squares sum of error-of-fit in predefined measures. By the g...
Fitting circles and ellipses to given points in the plane is a problem that arises in many applicati...
The least squares fitting minimizes the squares sum of error-of-fit in predefined measures. By the g...
In this paper, we present techniques for ellipsoid fitting which are based on minimizing the sum of ...
This paper presents a robust and accurate technique for an estimation of the best-fit ellipse going ...
This paper presents a new approach for precision estimation for algebraic ellipse fitting based on c...
In this paper, a sufficient condition for a quadric surface to be an ellipsoid has been developed an...
The problem of determining the circle of best fit to a set of points in the plane (or the obvious ge...
Least square fitting of quadratic surfaces is a fundamental problem in pattern recognition, computer...
© 2014 Alexandra Malyugina, Konstantin Igudesman and Dmitry Chickrin. This paper deals with the prob...
Fitting of data points by parametric curves and surfaces is demanded in many scientific fields. In t...
This work presents a new efficient method for fitting ellipses to scattered data. Previous algorithm...
The least squares fitting of geometric features to given points minimizes the squares sum of error-o...
The least squares fitting of geometric features to given points minimizes the squares sum of error-o...
The least squares fitting minimizes the squares sum of error-of-fit in predefined measures. By the g...
The least-squares fitting minimizes the squares sum of error-of-fit in predefined measures. By the g...
Fitting circles and ellipses to given points in the plane is a problem that arises in many applicati...
The least squares fitting minimizes the squares sum of error-of-fit in predefined measures. By the g...
In this paper, we present techniques for ellipsoid fitting which are based on minimizing the sum of ...
This paper presents a robust and accurate technique for an estimation of the best-fit ellipse going ...
This paper presents a new approach for precision estimation for algebraic ellipse fitting based on c...
In this paper, a sufficient condition for a quadric surface to be an ellipsoid has been developed an...
The problem of determining the circle of best fit to a set of points in the plane (or the obvious ge...
Least square fitting of quadratic surfaces is a fundamental problem in pattern recognition, computer...
© 2014 Alexandra Malyugina, Konstantin Igudesman and Dmitry Chickrin. This paper deals with the prob...
Fitting of data points by parametric curves and surfaces is demanded in many scientific fields. In t...
This work presents a new efficient method for fitting ellipses to scattered data. Previous algorithm...