Abstract
Cloth simulation has received much attention recently due to its commercial potential. It can be used for virtual try-on systems, digital films, games and cultural heritage applications. In this paper, we present an interactive multimedia system for Chinese traditional costumes based on two key technologies. One is cloth simulation based on a fabric parameter algorithm, in which a BP neural network is constructed to acquire a nonlinear relationship between fabric mechanical parameters and control parameters in a simulation process. The other is an improved Verlet algorithm for implementing systemic numerical integration. The major contribution of this system is that it can facilitate self-study by fashion majors to understand the cutting and sewing features and can provide a learning platform for people who are interested in traditional costumes. This system can fully demonstrate the characteristics of structures of classic Chinese costumes, such as Cheongsam, Qing Dynasty robes and Tibetan clothing. Three-dimensional virtual display technology is used to make and present the ancient garment by using two-dimensional garment CAD software to produce the garment pattern, image processing software to process fabric texture, and finally sewing the three-dimensional clothing. The user study shows that an interactive system based on virtual reality technology has a better intuitional and cognitive visual effect and is feasible for reproducing traditional costumes using digital technology.
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Acknowledgements
This paper is sponsored by the science and technology project of the Beijing Municipal Education Commission (SQKM201610012008), and the research project of the China Scholarship Council (NO.201609970003). Thanks to Dr. Chen Guo who has participated in the development and experiments of this project.
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Jiang, Y., Guo, R., Ma, F. et al. Cloth simulation for Chinese traditional costumes. Multimed Tools Appl 78, 5025–5050 (2019). https://doi.org/10.1007/s11042-018-5983-8
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DOI: https://doi.org/10.1007/s11042-018-5983-8