A study on data reduction in reverse engineering

In product reverse engineering, the data points obtained through laser surveying are enormous and complicated. So, how to dispose of this kind of data points is becoming the main problem of basing laser surveying modelling. In view of the foundation of forefather experience, a kind of data reduction method called adaptive minimum distance method is proposed in this paper. Such as is the detailing process that at first, noisy data points are filtered through human-machine interaction way; then, the data points are divided into different zero by curvature analyzing; at last, to data points in different zero, appropriate minimum distance is selected to reduce points. This kind of method not only has higher efficiency, but better preserves the detail character of initial data, at the same time, improves the speed and the precision of CAD model rebuilding. The algorithm principle and the data procedure are explained in detail by example in this paper, and its validity is verified.