A revisit to least squares orthogonal distance tting 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 ( and ) are proposed. The geometric meanings of existing and modified optimization methods are also revealed. © 2008 Springer-Verlag Berlin Heidelberg.link_to_subscribed_fulltex