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Published on 16 July 2024
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Li,G. (2024). Chinese dragon modeling based on Openscad. Applied and Computational Engineering,67,1-12.
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Chinese dragon modeling based on Openscad

Guanchen Li *,1,
  • 1 Computer Science and Technology, Harbin University of Science and Technology

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/67/20240585

Abstract

Nowadays, 3D modeling technology has become a vital link between modern technology and traditional culture. The question of how to replicate and innovate traditional cultural elements using advanced computer graphics (CG) technology has become a topic worthy of exploration. Therefore, this paper aims to discuss how to construct a dragon model rich in Chinese traditional characteristics through the powerful 3D modeling tool OpenSCAD, to demonstrate the potential of integrating modern modeling technology with Chinese traditional cultural elements. The paper first introduces the basic features of OpenSCAD and its potential applications in constructing complex 3D models, followed by a detailed discussion on the design concept, modeling process, and technical details of the Chinese dragon model, including the dragon's posture, detail depiction, and color coordination. Ultimately, a digitally rendered Chinese dragon with profound traditional aesthetic sensibilities was successfully created. The experimental evaluation results garnered widespread recognition from evaluators, particularly in terms of appearance.

Keywords

OpenSCAD, 3D Modeling, Computer Graphics, Chinese Dragon

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Cite this article

Li,G. (2024). Chinese dragon modeling based on Openscad. Applied and Computational Engineering,67,1-12.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Software Engineering and Machine Learning

Conference website: https://www.confseml.org/
ISBN:978-1-83558-447-7(Print) / 978-1-83558-448-4(Online)
Conference date: 15 May 2024
Editor:Stavros Shiaeles
Series: Applied and Computational Engineering
Volume number: Vol.67
ISSN:2755-2721(Print) / 2755-273X(Online)

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