Distance field guided -median skeleton extraction
Distance field guided -median skeleton extraction
复制标题
距离场引导-中位骨架提取
DOI：
10.1007/s00371-016-1331-z
复制
发表时间：
2018
期刊：
影响因子：
3.5
通讯作者：
Xiao Chunxia
中科院分区：
文献类型：
--
作者：
Song Chengfang;Pang Zhiqiang;Jing Xiaoyuan;Xiao Chunxia
本文提出了一种基于距离场的中值方法，从点云模型中提取拓扑干净的一维曲线骨架。我们首先对输入点云进行体素化，并计算点云的距离场。然后利用距离场，采用多尺度参数控制的细化方法提取模型的初始骨架。最后，我们将初始骨架的中值优化，并开发了一个距离场引导中值有效地提取完整的骨架从点云。我们的方法表现出的距离场为基础的骨架提取方法和中值骨架提取方法的优点。我们的骨架提取系统是强大的和有效的，并可以应用到原始扫描点云数据。
We introduce a distance field guided-median method to extract topologically clean 1D curve skeleton from the point cloud model. We first voxelize the input point cloud, and compute the distance field for the point cloud. Then with the distance field, we extract the initial skeleton of the model using a multi-scale parameter controlled thinning method. Finally, we incorporate the initial skeleton into the-median optimization, and develop a distance field guided-median to effectively extract the complete skeleton from the point cloud. Our method exhibits the advantages of both the distance field based skeleton extraction methods and the-median skeleton extraction methods. Our skeleton extraction system is robust and effective, and can be applied to the raw scanned point cloud data.