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An AR-assisted Comparison for the Case Study of the Reconstructed Components in two Old Brick Warehouses

9 pagesPublished: November 2, 2021

Abstract

The manufacture of brick in Taiwan started since Qing Dynasty. In order to understand the historical context of a city and its industry history, case study was made to two old brick warehouses. This study aims to cross-reference brick warehouses for the evolving application of construction materials and methods, based on the brick joints made on walls or openings. A photogrammetry modeling approach was applied to reconstruct the buildings and details of each warehouse. An AR-based comparison was made on Augmented® platform using smartphone for on-site and remote comparison. The novelty redefined the connection between process and configuration through a looped interaction between AR and 3D models. The flexibility of smartphone and the portability of cloud-based 3D AR database enabled a former reconstructed result to be remodeled as the reference for follow-up reconstruction process of brick components.

Keyphrases: Augmented Reality, brick warehouse, heritage preservation, Photogrammetry, reverse engineering

In: Yan Shi, Gongzhu Hu, Quan Yuan and Takaaki Goto (editors). Proceedings of ISCA 34th International Conference on Computer Applications in Industry and Engineering, vol 79, pages 150--158

Links:
BibTeX entry
@inproceedings{CAINE2021:An_AR_assisted_Comparison_for,
  author    = {Naai-Jung Shih and Yu-Chen Wu},
  title     = {An AR-assisted Comparison for the Case Study of the Reconstructed Components in two Old Brick Warehouses},
  booktitle = {Proceedings of ISCA 34th International Conference on Computer Applications in Industry and Engineering},
  editor    = {Yan Shi and Gongzhu Hu and Quan Yuan and Takaaki Goto},
  series    = {EPiC Series in Computing},
  volume    = {79},
  pages     = {150--158},
  year      = {2021},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/wbNn},
  doi       = {10.29007/rnz2}}
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