Affiliation:
1. Ethnic Costume Art and Aesthetic Education Teaching Team, College of Light Industry and Textiles, Inner Mongolia University of Technology , Hohhot , 010000 , China
Abstract
Abstract
To enhance the intelligence of the ethnic clothing customization industry and provide online solutions for clothing ordering and fashion shows, this study analyses the latest developments in the fields of digital human models, 3D clothing models, and virtual clothing displays in recent years. This study focuses on analysing the categories and processes of three related technologies in clothing virtual display and compares the advantages and disadvantages of four human body modelling methods. Reshaping the facial features of a 3D body scan model and binding the bones of each part is key to providing a personalized body model. In addition, 3D clothing modelling technology is classified into three methods. The 3D fabric scan data are used to establish realistic seam information and process details simulation and use hybrid modelling methods to virtually sew 2D samples, which can enhance the realism of clothing models. The virtual display platform for ethnic clothing is constructed through layered design based on the Unity3D engine, matching versions and virtual display. The above research ideas can solve bottleneck problems in clothing customization. This has important guiding significance for opening up the ethnic clothing customization market, promoting the intelligence of the customization industry, and promoting ethnic clothing culture.
Reference66 articles.
1. Li, J., Lu, G. (2014). Modelling 3D garments by examples. Computer-Aided Design, 49, 28–41. 10.1016/j.cad.2013.12.005.
2. McCartney, J., Hinds, B. K., Seow, B. L., Gong, D. (2000). Dedicated 3D CAD for garment modelling. Journal of Materials Processing Technology, 107(1–3), 31–36. 10.1016/S0924-0136(00)00695-6.
3. Zhang, D., Liu, Y., Wang, J., Li, J. (2018). An integrated method of 3D garment design. The Journal of The Textile Institute, 109(12), 1595–1605. 10.1080/00405000.2018.1436638.
4. Niu, M. (2020). Application of intelligent virtual reality technology in Clothing virtual wear and color saturation after COVID-19 epidemic situation. IFS, 39(6), 8943–8951. 10.3233/JIFS-189292.
5. Xue, X. Y., He, J. Z., Wang, M. (2022). Advances in the application of 3D virtual fitting technology in apparel design and performance evaluation. Modern Textile Technology, 31(2), 12–22. 10.19398/j.att.202207055.