2.1 Lightweight point cloud data Po

2.1 Lightweight point cloud data Point cloud data lightweight follows the principle of "sparse points where the surface changes slowly and dense points where the curvature changes greatly". In CATIA, the adaptive and Homogeneous methods are used to lighten the high density point cloud data. Under the same parameters, the lightweight results are shown in figure 2 and table 1.Under the same parameters, the effect of Adaptive is lighter than that of Homogeneous, but the details are easily filtered out. The filtered point cloud data can provide some reference for designers in a wide range, but the local performance is not good. For the accuracy of the point cloud data after processing, there is no accuracy evaluation analysis yet. BIM designers can select appropriate parameters to lighten the processing according to actual needs.