基于激光点云数据的室内精细三维模型建立  

An Indoor Fine 3D Model Based on Laser Point Cloud Data

作　　者：贾小凤 吕栋 姜传苓 丁健 陈勇 JIA Xiaofeng;LV Dong;JIANG Chuanling;DING Jian;CHEN Yong(College of Geomatics,Shandong University of Science and Technology,Qingdao Shandong 266590,China;Land and Resources Bureau of Hefei,Hefei Anhui 230000,China)

机构地区：[1]山东科技大学测绘科学与工程学院,山东青岛266590 [2]安徽省合肥市国土资源局,安徽合肥230000

出　　处：《北京测绘》2018年第11期1281-1284,共4页Beijing Surveying and Mapping

摘　　要：对于室内场景物体进行精细化模型的建立是当前三维模型重建技术的重要领域。激光点云因其具有精度高、获取速度快等优势,在三维模型建立中得到广泛的应用。本研究利用三维激光点云数据对室内场景物体进行三维模型建立,同时基于几何测量数据建立的三维模型,通过对两种方法的过程和结果进行对比,从采集时间成本、表现力、难易程度的不同证实了基于三维激光点云数据建模的有效性和高精度,最终得出使用点云数据能更好的对室内物体进行精细三维建模。The establishment of refined models for indoor scene objects is an important area of current 3D model reconstruction techniques. Laser point cloud has been widely used in the establishment of three-dimensional model because of its advantages such as high precision and fast acquisition speed. In this study, 3D laser point cloud data was used to establish a 3D model of an indoor scene object, and a 3D model was established based on geometric measurement data. By comparing the process and results of the two methods, the effectiveness and high accuracy of 3D laser point cloud data modeling are verified from the differences in acquisition time cost, expressiveness, and difficulty level. Finally, the use of point cloud data can be obtained. Better fine 3D modeling of indoor objects.

关 键 词：激光点云 三维模型 精细建模 精度评定 

分 类 号：P258[天文地球—测绘科学与技术]