节点文献
点云数据的曲面重构新算法
New Algorithm of Surface Reconstruction From Data Cloud
【摘要】 针对采用视觉测量方式得到的点云数据特点,提出了基于动力学数值仿真的网格曲面逼近方法。依据曲面曲率变化特性,该方法可对点云数据进行自适应压缩,并能显著提高逼近网格的品质,从而实现了点云数据的精确曲面重构。实际的算例结果表明,该方法实用可靠。
【Abstract】 For the large-scale data cloud, an algorithm of triangular patch approximation, based on the dynamic simulation, is presented in this paper. According to the change characteristics of surface curvature, the large-scale data cloud can be reduced to the reasonable scale and well-shaped triangles can also be created by this approach. Thus the precise reconstruction of data cloud is realized. The experimental results testify that the approach is feasible.
【关键词】 数据云;
几何建模;
反求工程;
数据压缩;
【Key words】 data cloud; geometric modeling; reverse engineering; data extraction;
【Key words】 data cloud; geometric modeling; reverse engineering; data extraction;
【基金】 中科院沈阳自动化研究所开放基金资助项目
- 【文献出处】 工程图学学报 ,Journal of Engineering Graphics , 编辑部邮箱 ,2001年02期
- 【分类号】TP391.72
- 【被引频次】19
- 【下载频次】378