摘要
将三维扫描仪测量得到的点云转换成一个实际的 3D(三维 )多边形模型 ,以满足高级建模和可视化的需要。为此提到了转换过程中出现的所有问题和解决方法。现在的激光三维扫描仪可以为许多应用领域提供一个标准的输入数据源 ,可以包含几百万个数据点集。因此 ,从非组织点云来产生物体的高质量多边形网格就成为现在研究的一个热点问题。在对不同的 3D形状表面重建的技术进行研究以后 ,提供了把一个非组织的点云转换为一个稳定的多边形模型的全过程。描述了一些三角化算法和建模方法。
We addressed the problems and solutions of converting a measured point cloud into a realistic 3D polygonal model that can satisfy high modelling and visualization demands. 3D scanners are becoming a standard source for input data in many application areas because it can provide accurate data which can provide millions of points. As a result,the generation of high-quality polygonal meshes of objects from unorganised point clouds is becoming a hot topic. After reviewing the different 3D shape techniques for surface reconstruction,this paper reports the full process of converting an unorganised point cloud into a constant polygonal model. In this paper,some triangulation algorithms and modelling methods are also being discussed.
出处
《武汉理工大学学报》
CAS
CSCD
2004年第5期84-86,共3页
Journal of Wuhan University of Technology
基金
"8 6 3"项目 (86 3- 30 6 - 0 4 - 0 6 - 3- 98)
国家自然科学基金 (6 9775 0 2 2 )
关键词
网格
表面重建
激光距离扫描仪
可视化
mesh
surface reconstruction
laser range scanner
visualization