A Fast Contour Generation Algorithm of Massive Point Cloud Data
Rapid generation of contour from massive point cloud data is the crucial step for feature-based model reconstruction. This paper proposes a fast contour generation algorithm of massive point cloud data based on slicing. To extract the featured points (FPs) from slice, a layer-based point cloud model is directly generated from the point cloud data and serves as the input of a digital image based method. Meanwhile, the size of the grid of digital plane is discussed for fast getting FPs. Based on the FPs of each slice, bidirectional index connecting method (BICM) is put forward to quickly construct layer contour. Finally, the curve model is generated. Several case studies are presented to illustrate the efficiency and accuracy of this approach.
massive point cloudcontourslicedigital imagecurve model
国家科技期刊平台
NSTL
万方数据
维普
