Designing the Chinese Traditional Lantern Model and its Possible Effect in the Application

DOI

10.2991/978-94-6463-370-2_54How to use a DOI?

Keywords

Chinese lantern; Openscad; Three js; 3D modelling

Abstract

As computer graphics and three-dimensional (3D) modeling continue to advance, their applications have become ubiquitous in everyone’s lives. However, traditional Chinese lanterns, a revered handcraft, have been largely untouched by these digital innovations. This is partly due to a lack of digitalization in lantern crafting education, resulting in decreased public interest. To address this issue, this study aims to explore the creation of digital Chinese lantern models and assess their potential in revitalizing lantern crafting education and industry. By adding a wooden holder and different lighting effects, this paper built a scene of the traditional Chinese family with the lantern model with textures and evaluated the effect of this whole scene by presenting it to audiences and collecting their opinion as data. The tool for modeling the Chinese lantern is Openscad. The whole scene shown to the audience is created and rendered by Three JS with other original models which help contribute to the final scene. The final evaluation gives a relevantly positive result in allowing the public to learn and raise interests in Chinese traditional lanterns.

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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TY  - CONF
AU  - Zian Zhang
PY  - 2024
DA  - 2024/02/14
TI  - Designing the Chinese Traditional Lantern Model and its Possible Effect in the Application
BT  - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)
PB  - Atlantis Press
SP  - 538
EP  - 551
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-370-2_54
DO  - 10.2991/978-94-6463-370-2_54
ID  - Zhang2024
ER  -