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

Qingguo Wang; Qing Zhu; Weidong Ding; Hua Yang

doi:10.1117/12.814360

29 December 2008 A generalization-oriented partition approach of 3D building group models

Qingguo Wang, Qing Zhu, Weidong Ding, Hua Yang

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72853J (2008) https://doi.org/10.1117/12.814360
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

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.

Citation Download Citation

Qingguo Wang, Qing Zhu, Weidong Ding, and Hua Yang "A generalization-oriented partition approach of 3D building group models", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72853J (29 December 2008); https://doi.org/10.1117/12.814360

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