Construction method of multi-dimensional building single body model

doi:10.13474/j.cnki.11-2246.2025.0201

Abstract

Abstract: The current live 3D building model data volume is huge, which brings challenges to model storage and real-time loading display. However, the existing research mainly focuses on the monolithicization, lightweighting and visualization of the original building model, which is difficult to meet the needs of urban spatial analysis and management under different application scenarios. For this reason, this paper proposes a multi-dimensional monolithic model construction method for building solid models. The method is based on OSGB data generated by inclined photography modeling, and cuts out the monolithic model of the building by using the vector contour of the building, then simplifies the building model by using the quadic error metrics (QEM) algorithm, and determines the geometrical parameters and morphological features of the building models of different simplification levels by comparing the different simplification levels. By comparing the geometric parameters and morphological features of building models of different simplification levels, the degree of simplification between building models of different dimensions is determined, and the construction of building monolithic models of different dimensions is finally realized. The experimental results show that the multi-dimensional monolithic construction of the 3D building model meets the requirements of level of details (LOD) in city geography markup language (CityGML), and compares favorably with the traditional building information modeling (BIM),it has a higher degree of automation.The method can complete the conversion between building models with limited data, and can construct 3D building model monoliths with different dimensions and apply them to different levels and scenarios to meet the needs of urban spatial analysis and management.

Key words: realistic 3D, QEM algorithm, model simplification, feature extraction, multi-dimensional building model

CLC Number:

P231

Lü Pengchao, LI Haiyang, JIANG Ling, LIANG Ming, WEI Hong, ZHANG Dapeng. Construction method of multi-dimensional building single body model[J]. Bulletin of Surveying and Mapping, 2025, 0(2): 1-6.

References

[1] 曲俸磊,胡忠文,张英慧,等.基于多视角二维投影的实景三维模型解译[J].地球信息科学学报,2024,26(3): 654-665.
[2] 雷江涛,刘清,潘婵玲,等.矢量切割倾斜摄影三维模型的单体化技术研究[J].测绘科学,2021,46(7):84-91.
[3] 张力,刘玉轩,孙洋杰,等.数字航空摄影三维重建理论与技术发展综述[J].测绘学报,2022,51(7):1437-1457.
[4] 陈博,佘江峰,谈俊忠,等.三维场景中建筑物模型简化研究进展[J].武汉大学学报(信息科学版),2020,45(9):1429-1437.
[5] 张韵,王淑营,郑庆,等.保持细节几何特征的三维网格模型轻量化算法[J].计算机应用,2023,43(4):1226-1232.
[6] CHEN J,LI M,LI J W.An improved texture-related vertex clustering algorithm for model simplification[J].Computers ＆ Geosciences,2015,83:37-45.
[7] SCHROEDER W,ZARGE J A,LORENSEN W.Decimation of triangle meshes[J].Acm Siggraph Computer Graphics,1992,26(2): 65-70.
[8] SALINAS D,LAFARGE F,ALLIEZ P.Structure-aware mesh decimation[J].Computer Graphics Forum,2015,34(6): 211-227.
[9] HAMANN B.A data reduction scheme for triangulated surfaces[J].Computer Aided Geometric Design,1994,11(2): 197-214.
[10] HOPPE H,DEROSE T,DUCHAMP T,et al.Mesh optimization[C]//Proceedings of the 20th Annual Conference on Computer Graphics and Interactive Techniques.Anaheim CA:ACM Press,1993.
[11] GHAZANFARPOUR A,MELLADO N,HIMEUR C E,et al.Proximity-aware multiple meshes decimation using quadric error metric[J].Graphical Models,2020,109: 101062.
[12] GARLAND M,HECKBERT P S.Surface simplification using quadric error metrics[C]//Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques.New York:ACM Press, 1997.
[13] 李少卿,霍亮,沈涛,等.顾及角度误差的三维建筑模型边折叠简化算法[J].武汉大学学报(信息科学版),2021,46(8): 1209-1215.
[14] 张春森,张会,郭丙轩,等.城市场景结构感知的网格模型简化算法[J].测绘学报,2020,49(3): 334-342.
[15] 李胜辉,史瑞芝,朱明.一种顾及多重约束的三维地形简化方法[J].武汉大学学报(信息科学版),2018,43(2): 241-247.
[16] BAIG S U,ABDUL-RAHMAN A.Generalization of buildings within the framework of CityGML[J].Geo-spatial Information Science,2013,16(4): 247-255.
[17] 王权,宋春花,牛保宁.面向移动终端的三维建筑物模型简化方法[J].计算机应用研究,2019,36(2): 615-620.
[18] 张艺琨.多特征三维模型检索技术研究[D].重庆: 西南大学,2018.
[19] 夏晓华,赵倩,向华涛,等.多聚焦图像离焦模糊区域的SIFT特征提取[J].光学精密工程,2023,31(24): 3630-3639.
[20] 牛亮,杨勤科.DEM尺度变换中直方图相似度计算与应用[J].水土保持研究,2010,17(3): 120-125.