A Robust Method of the Least Squares Orthogonal Distance Fitting
Kun Zhao · Journal of Jiamusi University · 2013
In traditional curve fitting methods,the error of independent variable was usually ignored.In the paper,the method of least squares orthogonal distance fitting is presented.This method gave a new criterion which is to minimize the square sum of orthogonal distance,and delete outliers of point clouds,so it is the best fitting curve.The results show that the proposed algorithm is reliable.