基于激光扫描数据的室外场景表面重建方法  

A Method of Surface Reconstruction of Outdoor Scenes from Laser Scanning Data

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地学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：《系统仿真学报》2005年第2期384-387,391,共5页Journal of System Simulation

基　　金：国家 863 高技术研究发展计划(2001AA131021);教育部科学技术研究重点项目(No.03008);中国博士后科学基金;三维空间信息获取与地学应用教育部重点实验室开放基金。

摘　　要：针对激光扫描特点,提出了一种自适应室外场景表面重建方法。首先,定义无效数据与有效数据,提取主要被测物;接着,通过边缘提取、拐点确定和表面曲率估计进行自适应重采样;然后,识别空洞,区分物体,给出网格剖分方法。实验验证了算法既可去除冗余数据又可突出重要边缘信息,有利于激光扫描数据的存储和传输。According to the features of laser scanning, we proposed a method of self-adaptive surface reconstruction of outdoor scenes. We first defined invalid data and valid data and extracted the main measured structures. We then self-adaptively re-sampled from laser scanning data by 3D feature extraction, inflexion detection and surface curvature estimation. Finally, we gave a triangulation approach that can recognize the holes and different objects automatically. The experiments verify that the proposed method can be able to reduce data, keep edges, and help to store and transmit laser data.

关 键 词：自适应采样 特征提取 HOUGH变换 曲率 三维重建 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]