3D Reconstruction of Geometries for Urban Areas Supported by Computer Vision or Procedural Generations

被引:1
作者
Liu, Hanli [1 ]
Hellin, Carlos J. [1 ]
Tayebi, Abdelhamid [1 ]
Delgado, Carlos [1 ]
Gomez, Josefa [1 ]
机构
[1] Univ Alcala, Dept Comp Sci, Alcala De Henares 28805, Spain
关键词
3D city model; spatial model; static 3D reconstruction; building information modeling; OpenStreetMap; computer vision; Google Maps;
D O I
10.3390/math12213331
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This work presents a numerical mesh generation method for 3D urban scenes that could be easily converted into any 3D format, different from most implementations which are limited to specific environments in their applicability. The building models have shaped roofs and faces with static colors, combining the buildings with a ground grid. The building generation uses geographic positions and shape names, which can be extracted from OpenStreetMap. Additional steps, like a computer vision method, can be integrated into the generation optionally to improve the quality of the model, although this is highly time-consuming. Its function is to classify unknown roof shapes from satellite images with adequate resolution. The generation can also use custom geographic information. This aspect was tested using information created by procedural processes. The method was validated by results generated for many realistic scenarios with multiple building entities, comparing the results between using computer vision and not. The generated models were attempted to be rendered under Graphics Library Transmission Format and Unity Engine. In future work, a polygon-covering algorithm needs to be completed to process the building footprints more effectively, and a solution is required for the missing height values in OpenStreetMap.
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页数:29
相关论文
共 37 条
  • [1] Alomia G., 2021, VIRTUAL REAL INTELL, V3, P423
  • [2] An Efficient Ray-Tracing Based Model Dedicated to Wireless Sensor Network Simulators for Smart Cities Environments
    Alwajeeh, T.
    Combeau, P.
    Aveneau, L.
    [J]. IEEE ACCESS, 2020, 8 : 206528 - 206547
  • [3] Integration of BIM and Procedural Modeling Tools for Road Design
    Biancardo, Salvatore Antonio
    Capano, Alessandra
    de Oliveira, Sara Guerra
    Tibaut, Andrej
    [J]. INFRASTRUCTURES, 2020, 5 (04)
  • [4] Procedural generation of semantically plausible small-scale towns
    Bulbul, Abdullah
    [J]. GRAPHICAL MODELS, 2023, 126
  • [5] Reconstruction and Efficient Visualization of Heterogeneous 3D City Models
    Buyukdemircioglu, Mehmet
    Kocaman, Sultan
    [J]. REMOTE SENSING, 2020, 12 (13)
  • [6] Cetiner B., 2024, BRAILS Release v3.1.0
  • [7] WiThRay: A Versatile Ray-Tracing Simulator for Smart Wireless Environments
    Choi, Hyuckjin
    Oh, Jaeky
    Chung, Jaehoon
    Alexandropoulos, George C.
    Choi, Junil
    [J]. IEEE ACCESS, 2023, 11 : 56822 - 56845
  • [8] PhotoMatch: An Open-Source Tool for Multi-View and Multi-Modal Feature-Based Image Matching
    de Ona, Esteban Ruiz
    Barbero-Garcia, Ines
    Gonzalez-Aguilera, Diego
    Remondino, Fabio
    Rodriguez-Gonzalvez, Pablo
    Hernandez-Lopez, David
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (09):
  • [9] A Cloud-Enabled Application Framework for Simulating Regional-Scale Impacts of Natural Hazards on the Built Environment
    Deierlein, Gregory G.
    McKenna, Frank
    Zsarnoczay, Adam
    Kijewski-Correa, Tracy
    Kareem, Ahsan
    Elhaddad, Wael
    Lowes, Laura
    Schoettler, Matthew J.
    Govindjee, Sanjay
    [J]. FRONTIERS IN BUILT ENVIRONMENT, 2020, 6
  • [10] Opal: An open source ray-tracing propagation simulator for electromagnetic characterization
    Egea-Lopez, Esteban
    Maria Molina-Garcia-Pardo, Jose
    Lienard, Martine
    Degauque, Pierre
    [J]. PLOS ONE, 2021, 16 (11):