Geometric structure simplification of 3D building models |
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| Affiliation: | 1. Shenzhen University, Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Nanhai Avenue 3688, Shenzhen, China;2. Nankai University, Zhou Enlai School of Government, Weijing Road 94, Tianjing, China;3. Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Luoyu Road 129, Wuhan, China;4. China Electronics Technology Group Corporation, No. 38 Research Institute, Xiangzhang Road 199, Hefei, China;1. Centre of Urban Studies and Urban Planning, Department of Urban Planning and Design, The University of Hong Kong, Hong Kong Special Administrative Region;2. Shenzhen Key Laboratory of Spatial Smart Sensing and Services, College of Civil Engineering, Shenzhen University, China;1. Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen University, Room 1402, Science Building, Shenzhen University, Shenzhen, China;2. The Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hum, Hong Kong, China;3. State Key Laboratory of Earthquake Dynamics, Institute of Geology, China Earthquake Administration, Dewai Street, Qijiahuozi, Chaoyang District, Beijing, China;1. Shenzhen Key Laboratory of Spatial Smart Sensing and Services & The Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen, Guangdong, China;2. The Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China;3. First Institute of Oceanography, State Oceanic Administration, Qingdao, Shandong, China;1. Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and Geo-information & Shenzhen Key Laboratory of Spatial-temporal Smart Sensing and Services & College of Life and Marine Sciences, Shenzhen University, 517920 Shenzhen, China;2. School of Resource and Environmental Sciences, Wuhan University, 430079 Wuhan, China;1. Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of National Administration of Surveying, Mapping and GeoInformation & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & College of Life Sciences and Oceanography, Shenzhen University, 518060 Shenzhen, China;2. School of Resource and Environmental Science, Wuhan University, 430079 Wuhan, China;1. Shenzhen Key Laboratory of Spatial Information Smart Sensing and Services, Shenzhen University, Shenzhen, PR China;2. Key Laboratory for Geo-Environment Monitoring of Coastal Zone of the National Administration of Surveying, Mapping and GeoInformation, Shenzhen University, Shenzhen, PR China;3. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, PR China;4. Department of Geography, University of Tennessee, Knoxville, TN, USA |
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| Abstract: | ![]()
The complexity of building models directly affects the application efficiencies of 3D urban maps. To address the challenges of building models with various structures, we propose a structural simplification method in this paper. The geometric structures of building models are classified into three categories: embedded structures, compositional structures, and connecting structures, which can be extracted separately through convex/concave analysis. Some specific rules are proposed for the simplification of geometric structures, and the building models are suggested to be simplified progressively. The robustness and efficiency of the method are demonstrated by experiments, and the applications of the Levels of detail of the building models are illustrated. |
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| Keywords: | 3D building model Levels of detail Simplification Structure recognition |
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