<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study digitizes ethnic clothing design from the perspective of fine arts. The female human body data obtained is uploaded to the corresponding design platform of Style3D, and the design resources are precipitated to form a corresponding database. The virtual fabric drape parameters and virtual fabric control parameters are utilized to achieve 3D virtual fabric drape simulation. Combined with the results of the ethnic style recommendation configuration to obtain virtual samples and evaluate satisfaction. The results show that the bust, abdominal, and hip circumferences of the acquired female body data are within the ranges of 42-52cm, 40-57cm, and 47-49cm, respectively. The results of the draping simulation experiment showed a smooth state after 90 minutes for six different fabrics. The highest similarity between length and width between the upper and lower bodice and pants was found for lapel bodices (0.9) and slouchy bodices (0.88), respectively. These correspond to long gowns with large lapel bodices and pants. Designer B’s highest mean value of 4.67 indicates that designers are highly satisfied with the ethnic clothing design function of Style3D, as the mean values of the six styles are above 4. To sum up, this paper advocates for the application of ethnic clothing design using Style3D technology.</p>
</abstract>

This study digitizes ethnic clothing design from the perspective of fine arts. The female human body data obtained is uploaded to the corresponding design platform of Style3D, and the design resources are precipitated to form a corresponding database. The virtual fabric drape parameters and virtual fabric control parameters are utilized to achieve 3D virtual fabric drape simulation. Combined with the results of the ethnic style recommendation configuration to obtain virtual samples and evaluate satisfaction. The results show that the bust, abdominal, and hip circumferences of the acquired female body data are within the ranges of 42-52cm, 40-57cm, and 47-49cm, respectively. The results of the draping simulation experiment showed a smooth state after 90 minutes for six different fabrics. The highest similarity between length and width between the upper and lower bodice and pants was found for lapel bodices (0.9) and slouchy bodices (0.88), respectively. These correspond to long gowns with large lapel bodices and pants. Designer B’s highest mean value of 4.67 indicates that designers are highly satisfied with the ethnic clothing design function of Style3D, as the mean values of the six styles are above 4. To sum up, this paper advocates for the application of ethnic clothing design using Style3D technology.

Ethnic Clothing Design Based on the Perspective of Fine Arts in the Context of Digitalisation

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study digitizes ethnic clothing design from the perspective of fine arts. The female human body data obtained is uploaded to the corresponding design...

Ethnic Clothing Design Based on the Perspective of Fine Arts in the Context of Digitalisation

Published Online: Jul 09, 2024

Page range: -

Received: Feb 28, 2024

Accepted: May 21, 2024

DOI: https://doi.org/10.2478/amns-2024-1822

Keywords
Style3D technology, Garment digitization, Drape simulation, Virtual sample garment

© 2024 Minghui Jia., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Ethnic Clothing Design Based on the Perspective of Fine Arts in the Context of Digitalisation

Published Online: Jul 09, 2024

Page range: -

Received: Feb 28, 2024

Accepted: May 21, 2024

DOI: https://doi.org/10.2478/amns-2024-1822

KeywordsStyle3D technology, Garment digitization, Drape simulation, Virtual sample garment

© 2024 Minghui Jia., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Style3D technology, Garment digitization, Drape simulation, Virtual sample garment