点云
中轴
拓扑骨架
离群值
骨架(计算机编程)
计算机科学
代表(政治)
点(几何)
噪音(视频)
集合(抽象数据类型)
人工智能
几何学
算法
计算机视觉
数学
分割
活动形状模型
图像(数学)
政治
政治学
程序设计语言
法学
作者
Hui Huang,Shihao Wu,Daniel Cohen‐Or,Minglun Gong,Hao Zhang,Guiqing Li,Baoquan Chen
标识
DOI:10.1145/2461912.2461913
摘要
We introduce L 1 - medial skeleton as a curve skeleton representation for 3D point cloud data. The L 1 -median is well-known as a robust global center of an arbitrary set of points. We make the key observation that adapting L 1 -medians locally to a point set representing a 3D shape gives rise to a one-dimensional structure, which can be seen as a localized center of the shape. The primary advantage of our approach is that it does not place strong requirements on the quality of the input point cloud nor on the geometry or topology of the captured shape. We develop a L 1 -medial skeleton construction algorithm, which can be directly applied to an unoriented raw point scan with significant noise, outliers, and large areas of missing data. We demonstrate L 1 -medial skeletons extracted from raw scans of a variety of shapes, including those modeling high-genus 3D objects, plant-like structures, and curve networks.
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