三维点云模型孔洞边界识别的研究综述  

Review of hole boundary recognition in 3D point cloud model

作　　者：王春香[1] 梁亮 王耀[1] 康凯 Wang Chunxiang;Liang Liang;Wang Yao;Kang Kai(Department of Mechanical,Inner Mongolia University of Technology,Baotou 014010,Inner Mongolia,China)

机构地区：[1]内蒙古科技大学机械学院

出　　处：《现代制造工程》2019年第7期157-162,共6页Modern Manufacturing Engineering

基　　金：内蒙古自治区自然科学基金项目(2017MS(LH)0530);内蒙古自治区高等学校科学研究项目(NJZY16167)

摘　　要：逆向工程中点云数据获取技术的发展使点云模型广泛应用于不同领域,然而,由于多种因素存在,使得到的三维点云数据缺失造成孔洞,影响后续曲面重构及三维模型重建工作。对点云模型的孔洞形成原因及孔洞类型进行了分析和总结,并回顾了已有的孔洞边界识别方法,就当前两大方面的边界识别方法做出了详细地介绍,归纳和阐述了一些方法的原理,对比它们的优缺点及其适用范围,最后分析了孔洞识别主要存在的难题以及应对方法,为后续研究提供有益的参考。The development of point cloud data acquisition technology in reverse engineering makes the point cloud model widely used in different fields.However,due to the existence of a variety of factors,the lack of 3D point cloud data cause holes,which affects the reconstruction of the following surface and the reconstruction of the 3D model.The causes of hole formation and the type of hole in the point cloud model are analyzed and summarized,and the existing method of hole boundary recognition is reviewed.The boundary recognition methods in the two major aspects are introduced in detail,the principles of some methods are summarized and expounded,and their advantages,disadvantages and application range are compared.Finally,analyzes the main problems existing in the identification of holes and the way to deal with them,which provided a beneficial reference for follow-up research.

关 键 词：逆向工程 点云模型 孔洞边界识别 孔洞类型 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]