Design and Modeling of Chinese Classical Lanterns Based on Different Processes
- DOI
- 10.2991/978-94-6463-370-2_52How to use a DOI?
- Keywords
- 3D model; OpenSCAD; lantern; graphics rendering
- Abstract
In recent times, Three-dimensional(3D) technology has gained significant popularity across various industries including gaming, movies, medicine, and architecture, primarily due to advancements in computer graphics technology. However, the requirements for modeling tools and functionalities vary across industries. Therefore, it is crucial to select the most suitable software that aligns with the specific needs and professionalism of each industry. This research paper focuses on exploring the work processes that effectively capture the essence of Chinese classical lantern aesthetics. The research begins by utilizing OpenSCAD to construct a highly detailed model and subsequently combines it with the capabilities of Three.js to generate interactive rendering results. Additionally, the study incorporates the versatile functionalities of Blender to create intricate models, stunning renderings, and captivating animations, presenting an alternative method of showcasing the aesthetics. Based on a survey conducted among random viewers, the model rendered using the Blender Cycles engine was found to be highly effective.
- 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
TY - CONF AU - Min Ji PY - 2024 DA - 2024/02/14 TI - Design and Modeling of Chinese Classical Lanterns Based on Different Processes BT - Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023) PB - Atlantis Press SP - 512 EP - 525 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-370-2_52 DO - 10.2991/978-94-6463-370-2_52 ID - Ji2024 ER -