Options
1999
Conference Paper
Titel
Geometric Fitting of Superquadric
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 superquadric, robust algorithms are proposed which are based on the coordinate description of the corresponding point on the superquadric for the given point, where the connecting line of the two points is the shortest path from the given point to the superquadric.