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Research Article | Open Access |

A Method for Constructing and Managing Level of Detail for Non-Closed Boundary Models of Buildings

Author 1: Ahyun Lee
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 15, No. 3 · Published 2024

DOI: https://doi.org/10.14569/IJACSA.2024.0150360

Abstract

An urban digital twin (UDT) involves creating a virtual three-dimensional (3D) digital replica of a real-world city. To build a UDT model, it needs a comprehensive 3D representation of the city's terrain, buildings, and infrastructure. In order to effectively visualize and manage large-scale spatial data in 3D, it is essential to establish and maintain an appropriate level of detail (LoD) for the 3D model. This study proposes to construct and manage LoDs for VWorld building data. However, since buildings are often composed of non-closed boundary models, applying a quadric mesh-based simplification algorithm may result in the deletion of meshes containing important contour information that defines the shape of the building. To overcome this problem, this paper proposes to use a geometric filtering algorithm to preserve the building outline shape.

Keywords

How to Cite this Article

Lee, A. (2024). A Method for Constructing and Managing Level of Detail for Non-Closed Boundary Models of Buildings. International Journal of Advanced Computer Science and Applications, 15(3). https://doi.org/10.14569/IJACSA.2024.0150360

Lee, Ahyun. "A Method for Constructing and Managing Level of Detail for Non-Closed Boundary Models of Buildings." International Journal of Advanced Computer Science and Applications, vol. 15, no. 3, 2024, https://doi.org/10.14569/IJACSA.2024.0150360.

@article{Lee2024,
  title     = {A Method for Constructing and Managing Level of Detail for Non-Closed Boundary Models of Buildings},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {3},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Ahyun Lee},
  doi       = {10.14569/IJACSA.2024.0150360},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150360}
}

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