Online 3D city visualization for smarter cities
Pan Bin;Guo Xiaoming;Chen Mingming;Chen Wei;Peng Qunsheng;School of Science,Liaoning Shihua University;State Key Laboralory of CAD&CG,Zhejiang University;
Objective Three-dimensional( 3D) city visualization is fundamental for information display in smarter cities.Existing 3D city visualization systems are mainly limited in two aspects. First,the data model of a 3D city is unsuitable for handling massive building data and does not support real-time network transmission. Second,given that the whole city is rendered in a homogeneous graphic style and that most buildings are highly similar in texture,structure,and height,the rendering results usually exhibit high visual complexity. In this study,we propose a technique for online 3D city visualization on the basis of human visual perception and spatial cognition theory. Method During preprocessing,our system creates a multiple representation of buildings on the basis of the building generalization technique. Then,at runtime,the system can dynamically choose an appropriate level of buildings on the basis of human interaction. Result The algorithm is tested on several large 3D city models. Experiment results confirm the applicability of our algorithm to interactive visualization and information intensity reduction of a 3D city. For the Leverkusen city model with 5 530 buidings,we have improred the frame rate to 19. 4 frame / s. Conclusion The proposed method can improve the efficiency of 3D city rendering and thus enable users to obtain relevant information through efficient interaction.