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基于自适应紧支撑径向基函数的点云三维建模
引用本文:刘春,姚银银,吴杭彬.基于自适应紧支撑径向基函数的点云三维建模[J].地理与地理信息科学,2009,25(1).
作者姓名:刘春  姚银银  吴杭彬
作者单位:1. 同济大学测量与国土信息工程系,上海,200092;现代工程测量国家测绘局重点实验室,上海200092
2. 同济大学测量与国土信息工程系,上海,200092
基金项目:国家自然科学基金,国家高技术研究发展计划(863计划),辽宁工程技术大学地理空间信息技术与应用实验室开放基金 
摘    要:激光扫描仪(Laser'Scanner,LS)获得的点云数据由海量全离散的矢量坐标点构成.由于点云数据没有明显的形体信息和拓扑关系信息,考虑数据本身蕴含的丰富信息,采用改进后的自适应紧支撑径向基函数(AdaptiveCS-RBF)算法对点云数据进行曲面重建.在介绍紧支撑径向基函数数学模型的基础上,采用激光扫描获得同济大学孔子头像点云数据进行实例建模,通过比较不同建模参数获得的模型,分析该方法的应用效果.

关 键 词:自适应径向基函数  曲面重建  单元分解  隐式曲面

Shape Reconstruction from Point Cloud via Adaptive Compactly Supported Radial Basis Function
LIU Chun,YAO Yin-yin,WU Hang-bin.Shape Reconstruction from Point Cloud via Adaptive Compactly Supported Radial Basis Function[J].Geography and Geo-Information Science,2009,25(1).
Authors:LIU Chun  YAO Yin-yin  WU Hang-bin
Institution:1.Department of Surveying and Geo-informatics;Tongji University;Shanghai 200092;2.Key Laboratory of Advanced Engineering Survey of SBSM;China
Abstract:The sea volume of point cloud can be obtained by Laser Scanner,which is consisted of scattered vector point.However,the point cloud is lack of distinct geometry and topological information.In order to build a real three dimension surface model by using point cloud,the method of compactly supported radial basis function is discussed by considering internal information among point cloud in this paper.The principle of compactly supported radial basis function is given firstly as the mathematic basis.Then,the f...
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