Author
Listed:
- Hanli Liu
(Department of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain)
- Carlos J. Hellín
(Department of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain)
- Abdelhamid Tayebi
(Department of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain)
- Carlos Delgado
(Department of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain)
- Josefa Gómez
(Department of Computer Science, Universidad de Alcalá, 28805 Alcalá de Henares, Spain)
Abstract
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.
Suggested Citation
Hanli Liu & Carlos J. Hellín & Abdelhamid Tayebi & Carlos Delgado & Josefa Gómez, 2024.
"3D Reconstruction of Geometries for Urban Areas Supported by Computer Vision or Procedural Generations,"
Mathematics, MDPI, vol. 12(21), pages 1-31, October.
Handle:
RePEc:gam:jmathe:v:12:y:2024:i:21:p:3331-:d:1505166
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:21:p:3331-:d:1505166. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.