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民族服饰数字化保护与传承关键技术

Key technologies for digital preservation and inheritance of ethnic costumes

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【作者】 耿增民刘诗宇崔牮康申奥王永进刘卫宁俊

【Author】 GENG Zengmin;LIU Shiyu;CUI Jian;KANG Shen′ao;WANG Yongjin;LIU Wei;NING Jun;School of Artificial Intelligence and Innovative Design, Beijing Institute of Fashion Technology;Information Center, Beijing Institute of Fashion Technology;School of Fashion Art and Engineering, Beijing Institute of Fashion Technology;Beijing Social Sciences Research Base of Capital Dress Culture and Garment Industry, Beijing Institute of Fashion Technology;

【通讯作者】 宁俊;

【机构】 北京服装学院人工智能与创新设计学院北京服装学院信息中心北京服装学院服装艺术与工程学院北京服装学院首都服饰文化与服装产业研究基地

【摘要】 针对目前民族服饰文化遗产保护与传承不足的现状,提出利用数字化技术进行民族服饰保护与传承的方法。首先,采用三维扫描技术对民族服饰进行全方位数字化采集,并以全信息格式存储;其次,运用人工智能辅助的数字修复技术还原服饰细节,同时使用深度学习技术实现民族服饰图像的自动分类;然后,在Marvelous Designer软件中按1∶1比例复刻服饰并模拟织物的物理特性;最后,选取馆藏清代蓝缎女袄作为实验对象,在虚幻引擎环境中构建虚拟数字人,通过人机交互方式实现沉浸式展示。实验结果显示:该方法不仅能高效记录和展示民族服饰细节,还可提升公众对民族服饰文化的认知和兴趣。研究结果为民族服饰的数字化保护和创新传承提供了一条全新的技术路径,对其它物质文化遗产的保护与传承亦具有参考价值和借鉴意义。

【Abstract】 Objective In order to address the limitations in preservation and inheritance of textile intangible cultural heritage using digital and intelligent technologies, the study proposes a methodology for the preservation and inheritance of ethnic costumes based on unreal Engine(UE), artificial intelligence(AI) and visual reality(VR) technologies. The main objectives include efficiently digitizing ethnic costumes, enhancing the reproduction of costume details through artificial intelligence tools, and increasing public awareness and interest in ethnic costume culture by creating a metahuman to interact with the audience.Method High-precision 3-D scanning technology was employed to comprehensively digitize ethnic costumes to capture both the exterior and interior surfaces. The data were stored in full-information files using.ply or.pts file formats. Next, digital restoration was performed using AI tools to enhance the accuracy of color, pattern, and material details. The garments were then precisely recreated in Marvelous Designer(MD) in a scale of 1∶1, simulating the physical properties of the fabrics. Finally, the recreated garments were displayed interactively using metahuman in the UE environment.Results The 3-D scanning process successfully captured detailed point-cloud data of the ethnic costumes, achieving full-information storage. Digital restoration processes applied to the 3-D models resulted in highly accurate replications of the original garments, including texture and material details. An automatic classification system for ethnic costume images was also developed using a hybrid CNN-ResNet model, which improved classification accuracy and model generalization. The system′s performance was evaluated through a series of experiments, with metrics such as accuracy, precision, recall, and F1 score showing promising results. The dynamic garment simulation in MD and subsequent interactive display in UE demonstrated the effectiveness of this method for bringing ethnic costumes to life. For example, a Qing dynasty blue silk women′s jacket from the museum collection in Beijing Institute of Fashion Technology was accurately recreated and dynamically displayed. The study also explored the use of VR/AR technology to preserve intangible cultural heritage relating to ethnic costumes, such as traditional craftsmanship and dyeing techniques, offering a new approach to cultural transmission.Conclusion The proposed methodology is effective in preserving and inheriting ethnic costumes. The integration of high-precision 3-D scanning, digital restoration and interactive display through UE not only preserves the physical characteristics of ethnic costumes, but also enhances public participation through immersive experiences. The combined use of VR, AI and metahuman technologies provides a viable solution for the preservation and innovative inheritance of ethnic costume cultural heritage. This method has popularization value and reference significance for the preservation and inheritance of other forms of tangible cultural heritage.

【基金】 教育部人文社科项目(21YJA760020)
  • 【文献出处】 纺织学报 ,Journal of Textile Research , 编辑部邮箱 ,2025年05期
  • 【分类号】TS941.12
  • 【下载频次】63
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