大规模三维场景几何信号基本处理方法  

Basic Processing Methods of 3D Geometrical Signals from Large-Scale Scenes

作　　者：张爱武[1] 孙卫东[2] 李风亭[2] 

机构地区：[1]首都师范大学三维空间信息获取与应用教育部重点实验室,北京100037 [2]清华大学电子工程系,北京100084

出　　处：《计算机辅助设计与图形学学报》2005年第7期1486-1491,共6页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家"八六三"高技术研究发展计划基金项目(2001AA131021);教育部科学技术研究重点项目(03008);中国博士后科学基金

摘　　要：提出了基于激光扫描数据的大规模场景重建的方法,通过三维数据分割、提取结构特征、计算虚特征、简化数据,为配准提供可靠基元·根据特征单元和最小生成树原则,拼合多机位三维数据·最后,建立三维场景网格模型,给出空洞填补方法·实验证明了该算法的鲁棒性·An engineering approach for reconstructing large scenes from laser range data is presented. 3D structure features are first extracted from the range data and false features are recognized to simplify the dense data-sets and provide stable features for registration. Each two overlapping range images are automatically registered using feature units and minimal spanning tree is employed to realize global registration of multiple range images. Finally multi-resolution meshes of scenes are built and local blending is applied to fill holes. Results for building large-scale 3D models of historic sites and urban structures are presented; showing the robustness of these methods.

关 键 词：分割 补洞 配准 匹配 建模 激光扫描 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]