Analysis of Data Selection and Optimization in Reverse Engineering

The data obtained through surveying in reverse engineering are enormous and complicated. Apparently, data of this kind are unfavourable to surface definition and the obtaining of the data of CAD/CAM. The inputing technique of the feature line based on measure data was applied to improve the efficiency of measure data, and a deviation method for the arc was provided to filtrate and select the measure data so as to get effective and regular data to construct the surface. Parameter-spline function was applied to optimize the data, the data of the function was available to construct the surface, and the function expression of the data can be used to choose the amount of optimizing data. Thus the quality of the surface can be controlled effectively.