Abstract
The increasing popularity of 3D city models in navigation, urban planning, etc.,
necessitates application-specific and geometrically accurate and valid models. The concept of Levels of Detail (LoDs) indicate a model’s scale of adherence to its real-world counterpart. Highly detailed datasets often contain errors or require an exorbitant level of computing power. Given the high availability of LoD2 datasets, our research focuses on three considerations for generalising to LoD1: the vertical reference, extrusion vs. downtrusion and floor plan simplification. We present in this paper an initial methodology that produces geometrically accurate LoD1 models with a reduction of over 70% of the original file size.
necessitates application-specific and geometrically accurate and valid models. The concept of Levels of Detail (LoDs) indicate a model’s scale of adherence to its real-world counterpart. Highly detailed datasets often contain errors or require an exorbitant level of computing power. Given the high availability of LoD2 datasets, our research focuses on three considerations for generalising to LoD1: the vertical reference, extrusion vs. downtrusion and floor plan simplification. We present in this paper an initial methodology that produces geometrically accurate LoD1 models with a reduction of over 70% of the original file size.
| Original language | English |
|---|---|
| Title of host publication | GISRUK 2017 Proceedings |
| Subtitle of host publication | 25th GIS Research UK Conference |
| Publisher | University of Manchester |
| Number of pages | 9 |
| Publication status | Published - 2017 |
| Event | GISRUK 2017: 25th GIS Research UK Conference - Manchester, United Kingdom Duration: 18 Apr 2017 → 21 Apr 2017 |
Conference
| Conference | GISRUK 2017: 25th GIS Research UK Conference |
|---|---|
| Country/Territory | United Kingdom |
| City | Manchester |
| Period | 18/04/17 → 21/04/17 |
Keywords
- Generalisation
- 3D
- City Model
- CityGML
- Levels of Detail