A compact random-access representation for urban modeling and rendering

Author:

Kuang Zhengzheng1,Chan Bin1,Yu Yizhou1,Wang Wenping1

Affiliation:

1. The University of Hong Kong

Abstract

We propose a highly memory-efficient representation for modeling and rendering urban buildings composed predominantly of rectangular block structures, which can be used to completely or partially represent most modern buildings. With the proposed representation, the data size required for modeling most buildings is more than two orders of magnitude less than using the conventional mesh representation. In addition, it substantially reduces the dependency on conventional texture maps, which are not space-efficient for defining visual details of building facades. The proposed representation can be stored and transmitted as images and can be rendered directly without any mesh reconstruction. A ray-casting based shader has been developed to render buildings thus represented on the GPU with a high frame rate to support interactive fly-by as well as street-level walk-through. Comparisons with standard geometric representations and recent urban modeling techniques indicate the proposed representation performs well when viewed from a short and long distance.

Funder

National Natural Science Foundation of China

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Feature Preserving Decimation of Urban Meshes;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16

2. Lightweight Reconstruction of Urban Buildings: Data Structures, Algorithms, and Future Directions;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

3. GIS Based Procedural Modeling in 3D Urban Design;ISPRS International Journal of Geo-Information;2022-10-19

4. A review of computer graphics approaches to urban modeling from a machine learning perspective;Frontiers of Information Technology & Electronic Engineering;2021-05-22

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