Dr. Qingguo Wang Profile

Dr. Qingguo Wang

at Wuhan Institute of Technology

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Proceedings Article | 15 October 2009 Paper

A 3D data model for fast visualization

Qingguo Wang

Proceedings Volume 7492, 749213 (2009) https://doi.org/10.1117/12.837793

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3D data model is an indispensable component to any 3D GIS, and forms the basis of 3D spatial analysis and representation. And now, plenty of representative 3D data models are proposed. However, existing models just take the theoretic 3D formal representation and the topology between objects into account, and neglect the display result and the consumption of storage space. Based on the review of existing three-dimensional (3D) GIS data model, a 3D surface model is proposed for fast visualization in this paper, which is composed of node, segment and triangle. Secondly, data structure and formal representation of 3D surface model is developed to construct and store data of 3D model. In order to compare this 3D surface model with other 3D data model, the building models in an experimental area are reconstructed and stored by the 3D surface model. The result demonstrates that the newly proposed 3D surface model is superior to the existing data model in terms of data volume, moreover, it can acquire fast visualization speed.

Proceedings Article | 29 December 2008 Paper

A generalization-oriented partition approach of 3D building group models

Qingguo Wang, Qing Zhu, Weidong Ding, Hua Yang

Proceedings Volume 7285, 72853J (2008) https://doi.org/10.1117/12.814360

KEYWORDS: Roads, 3D modeling, Visualization, Visual process modeling, Visibility, Map generalization, 3D imaging standards, Spatial analysis, Geomatics, Geographic information systems

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With the development of digital city, 3D City Models (3DCM) are created and applied in more and more fields in recent years. However, the geometric structure of 3DCM is complicated and the volume of texture data is huge, which is beyond the real time rendering abilities of current work stations. On the other hand, various applications have different requirements on the accuracy of geometric data and visual effects. Hence, the levels of detail (LoD) of 3DCM is of vital importance for a 3DCM. Because buildings are the main component of a city, research on the LOD of 3DCM focused on the LOD representation of urban buildings by generalization. Different from 2D map generalization, where maps have standardized official scale series, which lead to determinate generalization space and specific levels of detail. However, 3D building group models have no uniform standard to specify the levels of detail, which leads to difficulties in defining specific generalization space and geometric and semantic layer. Aiming at the automatic generalization of 3D urban building group models, this paper proposes a hierarchical partition approach of 3D urban building-group models to obtain different levels of generalization space.

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