Abstract
This paper presents a procedural framework to process raw photo grammetric data intended for 3D point cloud segmentation of masonry structures. Raw data is segmented in order to obtain operable3D models through processes that increasingly integrate computational methods, which can improve efficiency and accuracy. The idea is to improve the quality of the initial data, which can then be used to train a machine-learning system in identifying these materials more accurately. The approach incorporates a high-poly detailed mesh model generated through photogrammetry. The detailed model serves as are ference to extract colour information that we project onto a custom created, low-poly representation of the dome architectural element, ensuring a precise fit with the target model. The model to utilise UV maps and height maps to preprocess data across various scales is a step towards facilitating the documentation and conservation of historic structures with an awareness of architectural knowledge.
Original language | English |
---|---|
Title of host publication | Accelerated Design - 29th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2024 |
Editors | Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan |
Publisher | The Association for Computer-Aided Architectural Design Research in Asia |
Pages | 313-322 |
Number of pages | 10 |
ISBN (Print) | 9789887891826 |
Publication status | Published - 2024 |
Event | 29th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2024 - Singapore, Singapore Duration: 20 Apr 2024 → 26 Apr 2024 |
Publication series
Name | Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia |
---|---|
Volume | 2 |
ISSN (Print) | 2710-4257 |
ISSN (Electronic) | 2710-4265 |
Conference
Conference | 29th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2024 |
---|---|
Country/Territory | Singapore |
City | Singapore |
Period | 20/04/24 → 26/04/24 |
Bibliographical note
Publisher Copyright:© 2024 and published by the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong.
Keywords
- 3D point cloud segmentation
- UV mapping
- architectural heritage
- masonry documentation
- point cloud processing
- unit-based