Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

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Restore Traditional Chinese Lanterns Based on Openscad and Threejs

Authors
Linghan Zheng1, *
1School of Engineering, The University of Manchester, Manchester, M13 9PL, UK
*Corresponding author. Email: Linghan.Zheng@student.manchester.ac.uk
Corresponding Author
Linghan Zheng
Available Online 14 February 2024.
DOI
10.2991/978-94-6463-370-2_53How to use a DOI?
Keywords
Modelling; Traditional Culture; Practical; Chinese Traditional Lantern
Abstract

With the continuous development of modern computer graphics technology, its scope of application is becoming increasingly broad. This also has a positive impact on the preservation of traditional culture, as modern modeling techniques can digitally recreate many traditional buildings and objects. This article aims to combine OpenSCAD and Three.js to reproduce traditional Chinese lanterns in a minimalist style and explore the integration of traditional culture and modern technology. Then build the website with Vue3(The Progressive JavaScript Framwork) + Vite + ElementPlus + Threejs to display the final result model, detailed code and model report. Finally, a random selection of interviewees was conducted to assess the overall model restoration, the compatibility of this style with traditional Chinese lanterns, and the quality of the scene rendering. The results indicate that the evaluation of the model quality and scene rendering is generally positive. However, there were some negative assessments regarding the level of restoration and scene quality, suggesting the need for further optimization and improvements.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
Series
Advances in Intelligent Systems Research
Publication Date
14 February 2024
ISBN
10.2991/978-94-6463-370-2_53
ISSN
1951-6851
DOI
10.2991/978-94-6463-370-2_53How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Linghan Zheng
PY  - 2024
DA  - 2024/02/14
TI  - Restore Traditional Chinese Lanterns Based on Openscad and Threejs
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 526
EP  - 537
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_53
DO  - 10.2991/978-94-6463-370-2_53
ID  - Zheng2024
ER  -