Methodology for the efficient progressive distribution and visualization of 3D building objects
Mao, Bo and Harrie, Lars LU
(2016)
In ISPRS International Journal of Geo-Information
5(10).
- Abstract
Three-dimensional (3D), city models have been applied in a variety of fields. One of the main problems in 3D city model utilization, however, is the large volume of data. In this paper, a method is proposed to generalize the 3D building objects in 3D city models at different levels of detail, and to combine multiple Levels of Detail (LODs) for a progressive distribution and visualization of the city models. First, an extended structure for multiple LODs of building objects, BuildingTree, is introduced that supports both single buildings and building groups; second, constructive solid geometry (CSG) representations of buildings are created and generalized. Finally, the BuildingTree is stored in the NoSQL database MongoDB for dynamic... (More)
Three-dimensional (3D), city models have been applied in a variety of fields. One of the main problems in 3D city model utilization, however, is the large volume of data. In this paper, a method is proposed to generalize the 3D building objects in 3D city models at different levels of detail, and to combine multiple Levels of Detail (LODs) for a progressive distribution and visualization of the city models. First, an extended structure for multiple LODs of building objects, BuildingTree, is introduced that supports both single buildings and building groups; second, constructive solid geometry (CSG) representations of buildings are created and generalized. Finally, the BuildingTree is stored in the NoSQL database MongoDB for dynamic visualization requests. The experimental results indicate that the proposed progressive method can efficiently visualize 3D city models, especially for large areas.
(Less)
- author
- Mao, Bo
and Harrie, Lars
LU
- organization
- publishing date
- 2016-10-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- 3D city models, CSG representation, NoSQL, Symbolization, Visualization, X3D
- in
- ISPRS International Journal of Geo-Information
- volume
- 5
- issue
- 10
- article number
- 185
- publisher
- MDPI AG
- external identifiers
-
- wos:000387885900020
- scopus:84994158634
- ISSN
- 2220-9964
- DOI
- 10.3390/ijgi5100185
- language
- English
- LU publication?
- yes
- id
- ea5ff82e-6b1b-4c9f-8916-f0688b0fd256
- date added to LUP
- 2016-11-21 14:35:02
- date last changed
- 2024-04-05 10:41:05
@article{ea5ff82e-6b1b-4c9f-8916-f0688b0fd256,
abstract = {{<p>Three-dimensional (3D), city models have been applied in a variety of fields. One of the main problems in 3D city model utilization, however, is the large volume of data. In this paper, a method is proposed to generalize the 3D building objects in 3D city models at different levels of detail, and to combine multiple Levels of Detail (LODs) for a progressive distribution and visualization of the city models. First, an extended structure for multiple LODs of building objects, BuildingTree, is introduced that supports both single buildings and building groups; second, constructive solid geometry (CSG) representations of buildings are created and generalized. Finally, the BuildingTree is stored in the NoSQL database MongoDB for dynamic visualization requests. The experimental results indicate that the proposed progressive method can efficiently visualize 3D city models, especially for large areas.</p>}},
author = {{Mao, Bo and Harrie, Lars}},
issn = {{2220-9964}},
keywords = {{3D city models; CSG representation; NoSQL; Symbolization; Visualization; X3D}},
language = {{eng}},
month = {{10}},
number = {{10}},
publisher = {{MDPI AG}},
series = {{ISPRS International Journal of Geo-Information}},
title = {{Methodology for the efficient progressive distribution and visualization of 3D building objects}},
url = {{http://dx.doi.org/10.3390/ijgi5100185}},
doi = {{10.3390/ijgi5100185}},
volume = {{5}},
year = {{2016}},
}