纺织学报 ›› 2025, Vol. 46 ›› Issue (05): 236-242.doi: 10.13475/j.fzxb.20240707001

• 服装工程 • 上一篇    下一篇

民族服饰数字化保护与传承关键技术

耿增民1, 刘诗宇2, 崔牮2, 康申奥3, 王永进3, 刘卫3, 宁俊4()   

  1. 1.北京服装学院 人工智能与创新设计学院, 北京 100029
    2.北京服装学院 信息中心, 北京 100029
    3.北京服装学院 服装艺术与工程学院, 北京 100029
    4.北京服装学院 首都服饰文化与服装产业研究基地, 北京 100029
  • 收稿日期:2024-07-30 修回日期:2025-01-12 出版日期:2025-05-15 发布日期:2025-06-18
  • 通讯作者: 宁俊(1959—),女,教授。主要研究方向为服饰文化与非遗设计应用。E-mail: biftnj@163.com
  • 作者简介:耿增民(1968—),男,教授,博士。主要研究方向为纺织非遗数字化技术、机器学习、虚拟现实、智能穿戴等。
  • 基金资助:
    教育部人文社科项目(21YJA760020)

Key technologies for digital preservation and inheritance of ethnic costumes

GENG Zengmin1, LIU Shiyu2, CUI Jian2, KANG Shen'ao3, WANG Yongjin3, LIU Wei3, NING Jun4()   

  1. 1. School of Artificial Intelligence and Innovative Design, Beijing Institute of Fashion Technology, Beijing 100029, China
    2. Information Center, Beijing Institute of Fashion Technology, Beijing 100029, China
    3. School of Fashion Art and Engineering, Beijing Institute of Fashion Technology, Beijing 100029, China
    4. Beijing Social Sciences Research Base of Capital Dress Culture and Garment Industry, Beijing Institute of Fashion Technology, Beijing 100029, China
  • Received:2024-07-30 Revised:2025-01-12 Published:2025-05-15 Online:2025-06-18

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。

关键词: 民族服饰, 虚拟数字人, 保护传承, 虚幻引擎, 智能修复, 自动分类

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.

Key words: ethnic costume, metahuman, preservation and inheritance, unreal engine, intelligent restoration, automatic classification

中图分类号: 

  • TP391.4

表1

UE和Unity对比"

对比维度 UE Unity
硬件要求 较高 一般
视觉效果 高度逼真,适合高端3D 良好,但略逊色
开源性 源代码开放 源代码不开放
编程语言 C++、蓝图 C#
跨平台支持 良好,但移动端优化稍差 优秀,支持广泛

图1

保护处理流程图"

图2

民族服饰数字化修复"

图3

汉、蒙古、藏、苗、满5种民族服饰"

表2

民族服饰图像自动分类实验数据"

民族 训练集
数量
测试集
数量
准确率 精确度 召回率 F1值
2 400 600 0.975 0.956 0.960 0.915
2 400 600 0.958 0.976 0.990 0.986
2 400 600 0.993 0.934 0.990 0.971
蒙古 2 400 600 0.855 0.867 0.830 0.835
2 400 600 0.846 0.863 0.880 0.840
平均值 2 400 600 0.925 0.919 0.930 0.909

图4

民族服饰制作过程图"

表3

民族服饰知识数据库(局部)"

字段名 数据类型
服饰名称 字符串 蓝绸女袄
所属年代 索引 清朝
穿着对象 Bool 女性
所属民族 索引 汉族
着装场合 字符串 祝寿、节庆日
服饰色彩 整数 蓝色
服饰图案 字符串 十二团窠人物纹样
服饰材质 索引 丝绸
制作工艺 索引 刺绣
隐含知识 字符串 官宦或富贵人家的女性

图5

民族服饰数字人的3个形态"

表4

评估维度及内容"

维度 内容
文化认知 知识获取深度与广度
文化理解准确性
文化脉络建构能力
交互体验 用户参与度
沉浸式体验满意度
文化兴趣激发程度
传播效果 文化认同感提升
文化传播潜力
再访意愿
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