Digital Inheritance of Traditional Mongolian Robes of the Nayman Tribe

• Autorzy: Shi Hui , Duan Ting , Yu Xiao , Dong Qi

Identyfikatory

DOI

10.2478/ftee-2023-0049

• Języki publikacji: EN

Abstrakty

EN

The Mongolian robe is the crystallisation of the wisdom of Mongolian people after a long period of social practice and one of the intangible cultural heritages of humanity. With the gradual disappearance of the nomadic lifestyle in the steppe, it is not easy to protect and pass on traditional Mongolian dress culture and traditional handicraft technology. This study used the digital twin concept to construct a digital twin to try on clothes for a model in a virtual environment, to realise a mirror image presentation of the target physical entity, and to use effective modern technology to protect and pass on the traditional clothing. The experiment used an AlphaM4 3D body scanner to obtain a 3D human body model, as well as reverse engineering technology to process the initial data, such as noise reduction, streamlining, hole patching and smoothing to build a personalised human body model. The traditional black cotton robe of the Nayman tribe researched in the field was mapped by the planar structure design method, and its structure and 2D samples were recovered. A 3D model of the traditional cotton robe of the Nayman tribe was established based on 3D simulation technology to achieve a 3D virtual display effect, enable better dissemination and inheritance, and give a new vitality to non-heritage clothing in the digital era. The research results can provide fresh ideas and technical support for the digital estate and development of other traditional costumes, as well as contribute to the construction of digital resources for intangible cultural heritage.

Słowa kluczowe

EN

Mongolian robe restoration; 3D body modelling; digital twin; digital inheritance

• Wydawca: Sieć Badawcza Łukasiewicz - Łódzki Instytut Technologiczny
• Czasopismo: Fibres & Textiles in Eastern Europe
• Rocznik: 2023
• Tom: Vol. 31, no. 6
• Strony: 1--14
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Shi Hui

• Inner Mongolia University of Technology
• Digital inheritance of national costumes

autor

Duan Ting

• Inner Mongolia University of Technology

autor

Yu Xiao

• Inner Mongolia University of Technology

autor

Dong Qi

• Inner Mongolia University of Technology

Bibliografia

• Peng C N. (2021). Preservation and inheritance of Mongolian costume culture. Dyeing and Finishing, 08, 85-86.
• Naregle. (2022). The development and evolution of Mongolian costume culture. Textile Reports, 41(10), 123-125.
• Duan, L., Yueqi, Z., Ge, W., & Pengpeng, H. (2019). Automatic three-dimensional-scanned garment fitting based on virtual tailoring and geometric sewing. Journal of Engineered Fibers and Fabrics, 14, 1-6.
• Adikari, S. B., Ganegoda, N. C., Meegama, R. G., & Wanniarachchi, I. L. (2020). Applicability of a single depth sensor in real-time 3D clothes simulation: augmented reality virtual dressing room using kinect sensor. Advances in Human-Computer Interaction, 2020, 1-10.
• Xu W, Su P, Cheung S S. (2019). Human body reshaping and its application using multiple RGB-D sensors. Signal Processing-Image Communication, 79, 71-81.
• Varshney, N., Bakariya, B., Kushwaha, A. K. S., & Khare, M. (2021). Rule-based multiview human activity recognition system in real time using skeleton data from RGB-D sensor. Soft Computing, 27, 405-421.
• Tang X M. (2019). Virtual interactive display of 3D scanned dress models. Beijing Institute Of Fashion Technology.
• Holte M B. (2017). 3D Scanning of Clothing Using a RGB-D Sensor with Application in a Virtual Dressing Room. Duffy V G. Cham: Springer International Publishing, 481, 143-153.
• Li, R. (2017). Geometric modeling based 3D scanning garment simulation technology. Donghua University.
• Lahner Z, Cremers D, Tung T. (2018). Deep wrinkles: Accurate and realistic clothing modeling. Proceedings of the European conference on computer vision, 667-684.
• Meng T C. (2018). Research on virtual clothing modeling and fitting technology based on anthropometry. Southeast University.
• Huang S, Huang L. (2022). CLO3D-Based 3D Virtual Fitting Technology of Down Jacket and Simulation Research on Dynamic Effect of Cloth. Wireless Communications and Mobile Computing, 2022.
• Yu Q, Zhu G. (2023). Digital Restoration and 3D Virtual Space Display of Hakka Cardigan Based on Optimization of Numerical Algorithm. Electronics, 12(20), 4190.
• Ye, Q. (2023). Metadata construction scheme of a traditional clothing digital collection. The Electronic Library.