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基于三维激光扫描数据的智慧校园三维重建建模研究 被引量:1

Research on 3D reconstruction modeling of smart campus based on 3D laser scanning data
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摘要 在智慧校园三维重建建模中,往往需要耗费较长时间建模,但构建模型的精度却较低,设计一种基于三维激光扫描数据的智慧校园三维重建建模方法。利用三维激光扫描仪采集智慧校园三维重建建模数据。对于扫描仪无法测量的区域,采用钢尺或架设全站仪的方式实施数据补充采集。设计基于主元分析法的点云配准算法,对采集的三维激光扫描数据实施配准处理,实现多站数据坐标系的统一。对于规则的智慧校园实体模型,使用特征线提取建模方法实施建模。对于不规则的智慧校园实体模型,使用的建模方法为多尺度CS-RBF算法。利用设计方法实施某高校的校园三维建模,测试该方法的建模性能。测试结果表明,设计方法对于新老校区的建模时间分别为96 h、47 h,时间较短,同时玻璃缺失面积较小。 In the three-dimensional reconstruction modeling of smart campus,it often takes a long time to model,but the accuracy of the model is low.A three-dimensional reconstruction modeling method of smart campus based on three-dimensional laser scanning data is designed.3D reconstruction modeling data of smart campus is collected by 3D laser scanner.For the areas that cannot be measured by the scanner,steel ruler or total station shall be used for supplementary data acquisition.A point cloud registration algorithm based on principal component analysis is designed to register the collected 3D laser scanning data and realize the unification of multi station data coordinate system.For the regular smart campus entity model,the feature line extraction modeling method is used for modeling.For the irregular smart campus entity model,the modeling method used is the multi-scale cs-rbf algorithm.The three-dimensional modeling of a university campus is implemented by using the design method,and the modeling performance of the method is tested.The test results show that the modeling time of the design method for the new and old campuses is 96 h and 47 h respectively,which is short,and the glass missing area is small.
作者 刘萍 LIU Ping(Zhengzhou University of Industrial Technology,Zhengzhou 450000,China)
出处 《激光杂志》 CAS 北大核心 2023年第11期167-171,共5页 Laser Journal
基金 河南省自然科学基金项目(No.182300410161)。
关键词 三维激光扫描数据 主元分析法 智慧校园 多尺度CS-RBF算法 三维建模 3D laser scanning data principal component analysis smart campus multi scale CS-RBF algo-rithm 3D modeling
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