Exploration of CAD and Neural Network Integration in Art Design and Cultural Heritage Protection

被引:0
|
作者
Peng B. [1 ]
Sirisuk M. [1 ]
机构
[1] Faculty of Fine-Applied Arts and Cultural Science, Mahasarakham University, Mahasarakham
来源
Computer-Aided Design and Applications | 2024年 / 21卷 / S18期
关键词
Art Design; CAD; Intangible Cultural Heritage; Neural Network;
D O I
10.14733/cadaps.2024.S18.128-144
中图分类号
学科分类号
摘要
There is a close connection between art and design and intangible cultural Heritage (ICH). Art and design can study ICH, extract artistic elements from it, and then transform concepts into practical design. With the help of digital technology, high-precision replication, storage, and dissemination of ICH can be achieved, enabling more people to come into contact with and understand ICH. Computer-aided design (CAD) tools can help designers create designs more efficiently and achieve precise expression of design concepts. In order to innovate the means of digital ICH protection, this article combines CAD and neural network technology to propose an ICH art-style rendering algorithm based on deep neural networks (DNN). The successful use of this algorithm in the experimental phase has demonstrated that DNN can learn and simulate different artistic styles, adding rich artistic effects to ICH images. The CAD and neural network technology can provide unlimited art design and ICH protection. © 2024 U-turn Press LLC.
引用
收藏
页码:128 / 144
页数:16
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