UTILISING UV-MAPPING FOR THE 3D-POINT CLOUD SEGMENTATION OF ARCHITECTURAL HERITAGE

Fatih Uzun, Sevgi Altun, Sena Kayasü, Berkay Öztürk, Yusuf Şahin, Gözde Ünal, Mine Özkar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationAccelerated Design - 29th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2024
EditorsNicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan
PublisherThe Association for Computer-Aided Architectural Design Research in Asia
Pages313-322
Number of pages10
ISBN (Print)9789887891826
Publication statusPublished - 2024
Event29th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2024 - Singapore, Singapore
Duration: 20 Apr 202426 Apr 2024

Publication series

NameProceedings of the International Conference on Computer-Aided Architectural Design Research in Asia
Volume2
ISSN (Print)2710-4257
ISSN (Electronic)2710-4265

Conference

Conference29th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2024
Country/TerritorySingapore
CitySingapore
Period20/04/2426/04/24

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
  • architectural heritage
  • masonry documentation
  • point cloud processing
  • unit-based
  • UV mapping

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