Rotational-guided optimal cutting-plane extraction from point cloud
Rotational-guided optimal cutting-plane extraction from point cloud
复制标题
旋转引导的点云最佳切割面提取
DOI：
10.1007/s11042-019-08339-w
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发表时间：
2020
影响因子：
3.6
通讯作者：
Ke Lu
中科院分区：
文献类型：
--
作者：
Yinghui Wang;Zhang Huanhuan;Ningna Wang;Xiaojuan Ning;Zhao Yanni;Lijuan Wang;Ke Lu
本文提出了一种简单而强大的旋转引导最优割平面提取方法，为骨架提取、简化、曲面重构和边界提取提供了一种有效的方法。最优切割平面的计算包括：求取切割点和初始切割平面;在每个切割点上沿给定旋转轴沿着旋转参考切割平面，生成一组切割平面;计算这些切割平面的面积，选择投影面积最小的切割平面。所提出的方法的主要优点是，它既不对输入点云的质量，也不对捕获的形状的几何形状的强烈要求。实验结果表明，该方法能够有效地提取无方向原始点云模型的最优切割平面，即使在存在噪声和缺失数据的情况下也能有效地提取最优切割平面。
This paper presents a simple yet powerful rotational-guided optimal cutting-plane extraction method which can provide an effective way for skeleton extraction, simplification, surface reconstruction and boundary extraction. The optimal cutting-planes can be obtained by several steps: calculating the cutting-points and initial cutting-plane, rotating reference cutting-plane on each cutting-point along the given rotation axis to generate a group of cutting-planes, calculating the area of these planes and selecting the plane with the smallest projected area. The primary advantage of the proposed method is that it does neither place strong requirements on the quality of input point cloud nor on the geometry of captured shapes. The experimental results demonstrate that our method can extract the optimal cutting-planeseffectively for an unoriented raw point cloud model, even in the presence of noise and missing data.