离散点云原始形状及边界曲线提取算法

大规模离散点云包含多种类型的扫描缺陷:噪声、异常数据、孔洞及不规则的各向异性采样,大部分现有的算法不能够很好地处理这些缺陷,这对点云拓扑关系的恢复及特征提取带来了困难.针对此问题,提出了一种健壮有效的点云重构算法,首先,计算每个数据点的局部属性;然后利用局部属性探测点云中包含的原始形状;最后利用统计优化方法对原始形状中...

Extracting Methods of Primitive Shapes and Boundary Curves from Scattered Point Set

A huge scattered point data includes all kinds of scanning artifacts including noise,outliers,holes and irregular/anisotropic sampling. Most common surface reconstruction methods fail due to these shortcomings. This poses challenges to recovering datasets topology and retrieving features. In order to solve this problem, a robust and efficient reconstruction method was proposed. First, computed local properties for each data point, then used this information to detect simple primitive shapes in the data, at last, described a novel method to extract and optimize boundary curves on the primitive shapes and Employed the reconstructed boundary curves to extract a piccewise smooth surface mesh. The experimental results show the effectiveness of our method with reconstructions of synthetic datasets and real-scenes datasets.