A Revisit to Least Squares Orthogonal Distance Fitting of Parametric Curves and Surfaces
Fitting of data points by parametric curves and surfaces is demanded in many scientific fields. In this paper we review and analyze existing least squares orthogonal distance fitting techniques in a general numerical optimization framework. Two new geometric variant methods (Open image in new window and Open image in new window) are proposed. The geometric meanings of existing and modified optimization methods are also revealed.
Keywordsorthogonal distance fitting parametric curve and surface fitting nonlinear least squares numerical optimization
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