Geometric Modeling of Cloud Data from Sectional Measurement
Yu Ming Sun · Mechanical Science and Technology · 2002
Considering the characteristic of point cloud from sectional measurement, a method of extracting and arranging disconnected point from cloud data is presented. Thus, point cloud can be easily segmented into several subregions. Then a feature based polyhedral model is reconstructed adaptively, so a large scale precise data reduction, under allowable error, is also realized at the same time. The computing results show that the method is feasible and very suitable for the sectional data by CMM and Laser digitizer etc.