Cross-domain migration design of Yi lacquerware patterns on leather bags based on digital technology

Han Xu; Yudian Zhang; Zhengyang Lu; Han Chen

doi:10.1117/12.2645763

30 August 2022 Cross-domain migration design of Yi lacquerware patterns on leather bags based on digital technology

Han Xu, Yudian Zhang, Zhengyang Lu, Han Chen

Proceedings Volume 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022); 123091C (2022) https://doi.org/10.1117/12.2645763
Event: International Conference on Advanced Manufacturing Technology and Manufacturing System (ICAMTMS 2022), 2022, Shijiazhuang, China

Abstract

The Yi lacquerware pattern is abundant in content and exquisite in design. It has extremely strong regional characteristics and value connotations. Through field investigation, literature research and physical research, this study analyzes and extracts the pattern theme, morphological structure and typical color of Yi lacquerware from the perspective of design. We use morphological displacement method to redesign the extracted basic pattern and combine the arrangement rules to create a derivative pattern. We apply the derivative pattern to a modern women’s leather bag design, modeling production and simulation presentation through 3D digital software. Finally, we evaluate the design results through eye-movement experiments. The results show that the design method proposed in this research can produce leather bag products with ethnic characteristics while meeting the aesthetic perception of modern women. The cross-domain migration of Yi lacquerware patterns on leather bags can bring new artistic connotations and cultural meanings to contemporary leather products.

Citation Download Citation

Han Xu, Yudian Zhang, Zhengyang Lu, and Han Chen "Cross-domain migration design of Yi lacquerware patterns on leather bags based on digital technology", Proc. SPIE 12309, International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2022), 123091C (30 August 2022); https://doi.org/10.1117/12.2645763

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KEYWORDS

Visualization

3D modeling

Analytical research

Statistical analysis

3D applications

Data modeling

Image processing

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