%0 Journal Article %A CUI Jiajie %A CUI Ximin %A WANG Qiang %A LI Cong %T Research of orthogonal distance fitting method based on least-squares %D 2015 %R %J Computer Engineering and Applications %P 27-30 %V 51 %N 11 %X Fitting point cloud to achieve the information of model is a central issue in many fields of engineering applications. Its purpose is to inspect and check workpiece and three-dimensional parts according to the design model and the requirement of specification. The paper introduces a new fitting method on the basis of the least squares principle——the geometrical orthogonal distance fitting. It uses the orthogonal distance fitting algorithm to process measurement data of the geometry, and compares the fitting precision of the data with the result of general algebraic fitting method. Then the paper analyzes the result of fitting using different methods on the same geometry. It proves that larger error in the measurement point and to carry on the curve and surface fitting, orthogonal distance fitting is better than the general algebra method of least squares fitting. %U http://cea.ceaj.org/EN/abstract/article_33269.shtml