基于离散曲率的点云光顺算法  

Fairing algorithm for point cloud data based on discrete curvature

作　　者：徐永安[1] 缪静姣 李谦[1] XU Yong-an;MIAO Jingjiao;LI Qian(Information Engineering Institute, Yangzhou University, Yangzhou, Jiangsu 225009, China)

机构地区：[1]扬州大学信息工程学院,江苏扬州225009

出　　处：《计算机工程与应用》2017年第10期209-212,共4页Computer Engineering and Applications

摘　　要：通过对三维激光扫描仪扫描测量数据的误差来源进行分析,设计了一种基于离散曲率的点云光顺处理的快速算法,该算法以曲率特征为索引,能够快速判别点云数据的特征点,对非特征点采用w邻域内X,Y两个方向拟合三次B样条曲线做光顺处理。最后通过实例证明了所提方法的有效性。In this paper,a fairing algorithm for point cloud data based on discrete curvature is put forward through making analysis of the data error from3D laser scanner.The algorithm based on curvature index can quickly distinguish the feature points of the point cloud data,do smooth process from two directions of x,y in w neighborhood to fit cubic B-spline for non feature points.The algorithm is proven by practice.

关 键 词：离散曲率 三次B样条 光顺 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]