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Geometric Fitting of Superquadric

 
: Ahn, S.J.

Institute of Control, Automation and Systems Engineers -ICASE-, Korea:
Korea Automatic Control Conference 1999. Proceedings
Yongin, Korea, 1999
pp.C462-C465
Korea Automatic Control Conference (KACC) <1999, Yongin, Korea>
Institute of Control, Automation and Systems Engineers (Annual Conference) <5, 1999, Yongin, Korea>
Korean
Conference Paper
Fraunhofer IPA ()
Nonlinear Least Squares; Orthogonal Contacting Condition; Orthogonal Distance Fitting; Superquadric Fitting

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.

: http://publica.fraunhofer.de/documents/PX-15944.html