应申, 陈乃镔, 李威阳, 郭仁忠, 贺彪, 赵志刚, 汪善华. 三维房产群集对象可视化方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(1): 81-88. DOI: 10.13203/j.whugis20190242
引用本文: 应申, 陈乃镔, 李威阳, 郭仁忠, 贺彪, 赵志刚, 汪善华. 三维房产群集对象可视化方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(1): 81-88. DOI: 10.13203/j.whugis20190242
YING Shen, CHEN Naibin, LI Weiyang, GUO Renzhong, HE Biao, ZHAO Zhigang, WANG Shanhua. Visualization Methods for the Coherent Set of 3D Building Property Units[J]. Geomatics and Information Science of Wuhan University, 2020, 45(1): 81-88. DOI: 10.13203/j.whugis20190242
Citation: YING Shen, CHEN Naibin, LI Weiyang, GUO Renzhong, HE Biao, ZHAO Zhigang, WANG Shanhua. Visualization Methods for the Coherent Set of 3D Building Property Units[J]. Geomatics and Information Science of Wuhan University, 2020, 45(1): 81-88. DOI: 10.13203/j.whugis20190242

三维房产群集对象可视化方法

Visualization Methods for the Coherent Set of 3D Building Property Units

  • 摘要: 在三维产权管理中,许多三维产权对象(如住宅公寓)具有彼此邻接、密集分布的群集特征,物理上对象间存在客观的视觉遮挡,使得产权对象的空间位置、空间形态以及对象间的空间关系不易被观测。论述了群集三维对象可视化的要求和原则,分析了常用的切剖面、透明及线框、抽屉式交互可视化、体素等可视化方法,针对群集三维对象可视化的优缺点,提出一种基于离散变形技术实现对群集三维对象以及其内部对象的可视化方法。以真实三维房产为例进行实验验证,结果表明,离散变形可视化既能展现城市三维产权体对象的群集特征,又能突出内部聚焦对象,同时在空间布局、位置关系、拓扑关系等方面保持较好的认知特征。

     

    Abstract: In the fields of 3D cadastre and 3D property management system, numerous building property objects are adjacent as primary property units assemble into a 3D coherent set. During visualization process of the coherent set, occlusion, obscure, mazy spatial relationships and relative location relationships among the units of the coherent set cause difficulty in observing and understanding the set and its units. In this paper, we compare the advantages and disadvantages of present visualization methods for 3D coherent set, such as cross section mode, transparent mode, slide-out object mode and voxel visualization. Then the distortion visualization method is proposed for better visualization effect of coherent set and coherent objects. At last, the distortion visualization method is applied to real estate, and the result shows that the method proposed in this paper can not only visualize the focused 3D object and the coherent set, but also maintain spatial occupation, spatial position and topological relationships of whole coherent objects.

     

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