数据驱动的三维城市建筑矢量化建模研究

项目名称： 数据驱动的三维城市建筑矢量化建模研究

项目编号： No.61300068

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 侯飞

作者单位： 北京航空航天大学

项目金额： 23万元

中文摘要： 大规模三维城市快速建模在智慧城市、城市规划、城市保护、影视娱乐等方面有着广泛的应用。传统的手工建模、基于图像建模以及基于三维扫描数据的建模方法，缺少建筑语义信息,无法表示建筑结构，不能满足大规模三维城市快速建模的需求。过程建模是一种基于规则的快速建模方法。现有规则难以生成一些复杂形态变化的现代建筑；而且缺少模型语义，无法模拟城市建筑功能；用户需要设计复杂的规则。矢量化方法把无组织的数据表示为连续的数学形式，赋予结构和功能。本项目研究数据驱动的从建筑图像、三维点云等数据中自动提取建筑规则，并生成矢量化的语义建筑组件，赋予建筑及城市行为功能，快速构建各种建筑模型及大规模城市场景的方法。具体研究内容：建筑矢量和功能模型的规则定义及模型生成；基于单幅图像的矢量建筑组件生成和建筑规则提取；基于点云与图像结合数据的精细矢量化组件和规则生成；基于规则的大规模三维城市功能建模。

中文关键词： 建筑建模；三维建模；图像建模；双调和B样条；

英文摘要： The large-scale 3D urban modeling technique is widely useful in the fields of smart city, urban planning, heritage preservation and film production. The conventional hand-modeling, image-based modeling or 3D scan-based modeling methods lack of architectural semantic information without building structures,so they are unable to fulfill the requirements of rapid creation of large-scale urban models. Procedural modeling is a rule-based powerful tool for quick creation of massive models but current shape rules are hard to construct some complex modern architectures. Moreover, due to the lack of semantic contents, it is unable to simulate architectural functions. The users also have to design complex rules. Vectorization represents unstructured data in continuous mathematical form with structures and functions. In this project, we propose to investigate data-driven automatic rules extraction from images and 3D point cloud as well as vectorized semantic architectural components generation in order for rapid creation of all kinds of architectural models and large-scale urban models with architectural and urban behaviors and functions. The research topics include: definition of rules to generate vectorized and functional architectural and urban models; semantic vectorized components construction and rules extraction fro

英文关键词： Architectural Modeling；3D modeling；Image-based Modeling；Biharmonic B-spline；