Abstract: With the continued development of laser surveying technology,the speed of data obtaining and the density of data capturing are going to better and better.At the same time,how to process the numbers of data points is becoming the main problem of model rebuilding based on laser-scanning measurement.If disposing of the data point cloud directly,the saving and processing of the numbers of data would become the unbroken bottle-neck,and the whole process from data point to model rebuilding would become uncontrolled.Now,most algorithms get the precision by losing efficient.But,the adaptive minimum distance method proposed,just is a kind of data reduction algorithm that balances the efficiency and the precision,and has been verified on its validity by an example.

Key words: reverse engineering, curvature analyzing, minimum distance method, data reduction