基于自适应邻域的非均匀点云数据封装方法  

An adaptive neighborhood-based method for encapsulatingnon-uniform point cloud data

作　　者：郭敏 张文丽 吕源治[2] 李贞兰 GUO Min;ZHANG Wenli;LYU Yuanzhi;LI Zhenlan(School of Computer Science&Engineering,Changchun University of Technology,Changchun 130102,China;Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;The First Bethune Hospital of Jilin University,Changchun 130012,China)

机构地区：[1]长春工业大学计算机科学与工程学院,吉林长春130102 [2]中国科学院长春光学精密机械与物理研究所,吉林长春130033 [3]吉林大学白求恩第一医院,吉林长春130012

出　　处：《长春工业大学学报》2023年第3期276-281,共6页Journal of Changchun University of Technology

基　　金：吉林省发改委产业技术与开发项目(2022C043-8);长春市重大专项(21GD01)。

摘　　要：针对密度非均匀点云重建时难以控制网格生长范围的问题,研究了一种基于自适应邻域的非均匀点云数据封装方法。首先根据点云密度自适应地调整空间搜索球半径,然后利用投影法将邻域投影到二维平面,再根据约束准则寻找最优扩展点,逐步构建出网格曲面,最后利用孔洞修补方法修补网格中的孔洞。实验结果表明,该算法能够有效控制网格生长范围,构建出表达细节特征的网格曲面。Aiming at the problem that it is difficult to control the mesh growth range during density non-uniform point cloud reconstruction,a non-uniform point cloud data encapsulation method based on adaptive neighborhood is studied.Firstly,the radius of the spatial search sphere is adjusted adaptively according to the density of the point cloud,and then the neighborhood is projected to the two-dimensional plane by the projection method,and then the optimal expansion point is found according to the constraint criterion,the mesh surface is gradually constructed,and finally the hole repair method is used to repair the holes in the mesh.Experimental results show that the algorithm can effectively control the mesh growth range and construct a mesh surface that expresses detailed features.

关 键 词：区域生长 自适应邻域 投影 最优扩展点 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]