Curvature radii characterization based on point clouds

Curvature radii characterization based on point clouds
复制标题

基于点云的曲率半径表征

DOI：
--
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
R. Tutsch
R. Tutsch
中科院分区：
--
文献类型：
--
作者：
M. Galovska;M. Krystek;R. Tutsch

文献摘要

被引文献

相似文献

摘要半径表征过程由一系列操作组成。点云的数据处理是基于面积的测量结果，不同于基于轮廓的处理。我们处理的实现点云操作的曲率表征的情况下。复杂几何的特殊挑战是分割和关联操作。我们提出了一种方法的关联，包括分区间接。该方法是基于拟合的完整的数学模型，而不分离成子集的数据归因于几何图元。利用蒙特-卡罗模拟对所开发方法的不确定性传播进行了研究。
Abstract Radii characterization procedures consist of a sequence of operations. Data processing for point clouds, resulting from area-based measurements, differs from profile-based processing. We deal with the realization of point cloud operations in the case of curvature characterization. Special challenges of complex geometries are the partition and association operations. We propose an approach to the association including partition indirectly. The approach is based on fitting of the complete mathematical model without separating the data into subsets attributed to geometrical primitives. A study of uncertainty propagation for the developed approach was carried out by using Monte-Carlo simulations.