In surface reconstruction

the actual surface model generally contains several surface geometrical features. Namely it consists of multi-surface patches. If directly fitting surface with these point cloud data obtained from a laser scanner

the surface model presentation and the surface fitting are hard to do. Even it is difficult to use a simple formula to describe the surface model. In this paper

a method for region segmentation algorithm according to the curvature variation of data points is proposed. The operational principle is to calculate the curvature values to data points on each scanning line. The points with bigger curvature variation are picked up as boundary points. After borderline are determined

point cloud data are divided into several regions. Each region has simple geometrical features

and can be described in simple mathematical model

and then a single surface is reconstructal. This algorithm is simple

and can be easily understood and programmed. Efficiency of surface model reconstruction is enhanced.