摘要
针对当前三维城市建模方法中利用计算机程序对非精细模型批量建模只能保证建筑高度信息,不能利用二维数据的属性信息来控制模型的结构和纹理问题,该文提出基于参数化建模技术与3DMax插件开发技术实现城中村批量快速三维建模方法。首先,利用现有二维测绘数据的空间信息和属性信息作为建模的基础数据;然后,通过CityEngine提供的几何操作函数和几何形状属性函数,结合城中村建筑结构、屋顶结构的特点,构造生成建筑结构的函数,编制自动化参数化的建模程序,利用底面的属性信息生成模型;最后,编制Python语言批量导出模型的插件和MaxScript脚本批量导入模型的插件,提高工作效率和模型的兼容性。通过实验及性能分析,表明该方法能保证建筑三维模型的快速建立、结构和纹理的逼真与3DMax很好地兼容,并可直接进行模型修改与格式转换。
According to the current 3 Dcity modeling method,the computer program is used to batch model the non fine model,we can only guarantee the building height information,and can not use the attribute information of the two-dimensional data to control the structure and texture of the model,thus a new method that combined the technology of parameterized modeling with 3 DMax plug in development was proposed to support the rapid batch modeling method.Firstly,the spatial information and attribute information of the existing two-dimensional surveying and mapping data were used as the basic data of the modeling.Then,through the geometric operation function and the geometric shape attribute function provided by CityEngine,the characteristics of the building structure and roof structure the function of the building structure was built,automated parametric modeling program was prepared,and the underlying attribute information was use to generate the model.Finally,the preparation of Python language batch export model plug-in and the preparation of MaxScript bulk import model plug-ins were used to improve work efficiency and model compatibility.Through the experiment and performance analysis,it is shown that the method could guarantee the rapid establishment of the 3 D model of building,the realistic structure and texture,and was compatible with 3 DMax,and the model could be modified and format conversiondirectly.
作者
程朋根
李志荣
聂运菊
CHENG Penggen;LI Zhirong;NIE Yunju(Faculty of Geomatics,East China University of Technology, Nanchang 330013, China;Key Laboratory of Watershed Ecology and Geographical Environment Monitoring, National Administration of Surveying,Mapping and Geoinformation,Nanchang 330013,China;Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, Guangxi 541004, China)
出处
《测绘科学》
CSCD
北大核心
2019年第4期48-54,共7页
Science of Surveying and Mapping
基金
国家重点研发计划重点专项(2017YFB0503700)
国家自然科学基金项目(41861052
41861062)
广西空间信息与测绘重点实验室基金项目(16-380-25-29)
