IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i10p6232-d820028.html
   My bibliography  Save this article

Archaeology and Restoration of Costumes in Tang Tomb Murals Based on Reverse Engineering and Human-Computer Interaction Technology

Author

Listed:
  • Kaixuan Liu

    (School of Fashion and Art Design, Xi’an Polytechnic University, Xi’an 710048, China)

  • Hanhan Wu

    (School of Fashion and Art Design, Xi’an Polytechnic University, Xi’an 710048, China)

  • Yanbo Ji

    (School of Fashion and Art Design, Xi’an Polytechnic University, Xi’an 710048, China)

  • Chun Zhu

    (Fashion and Art Design Institute, Donghua University, Shanghai 200051, China)

Abstract

This paper takes the tomb murals as the research object, and realizes the development of the costume patterns of the Tang tomb murals and the 3D simulation restoration of the costumes through 3D interactive clothing pattern-making technology and virtual simulation technology. Firstly, the 3D garment model is constructed in the virtual environment according to the costume outline of the Tang Dynasty tomb mural costume. Then, the structural curves of the garment are drawn on the 3D garment according to the characteristics of the Tang Dynasty tomb mural garment style, the 3D surface is expanded and surrounded by these curves into the 2D garment plane, and the expanded surface is adjusted to obtain the 2D garment plane pattern. We use 3D virtual simulation technology to sew the patterns of Tang Dynasty tomb mural costumes and realize the virtual simulation restoration of Tang Dynasty tomb mural costumes. Finally, we create a fuzzy comprehensive evaluation of the restoration effect of the restored costumes. Compared with the traditional costume restoration methods, the method proposed in this paper reduces the technical requirements for operators in the restoration process without destroying cultural relics, and provides a new method for the rapid simulation and restoration of ancient Chinese costumes.

Suggested Citation

  • Kaixuan Liu & Hanhan Wu & Yanbo Ji & Chun Zhu, 2022. "Archaeology and Restoration of Costumes in Tang Tomb Murals Based on Reverse Engineering and Human-Computer Interaction Technology," Sustainability, MDPI, vol. 14(10), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6232-:d:820028
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/10/6232/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/10/6232/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Siliang Chen & Haozhong Yang & Shusheng Wang & Qingwu Hu, 2018. "Surveying and Digital Restoration of Towering Architectural Heritage in Harsh Environments: a Case Study of the Millennium Ancient Watchtower in Tibet," Sustainability, MDPI, vol. 10(9), pages 1-23, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Andreja Rudolf & Barbara Pučko & Maja Hren Brvar & Katarina Remic, 2024. "Using Digital Technology for the Sustainable Preservation of Clothing Heritage: A Virtual Reconstruction of the 1848/49 Uniform," Sustainability, MDPI, vol. 16(17), pages 1-26, September.
    2. Kaixuan Liu & Sha Lu & Jiayu Zhao & Zhuolei Jin & Chun Zhu & Keqing Zhu & Xinyue Hao & Bin Zhang & Zhao Lü & Xianyi Zeng, 2022. "Research on Archaeology and Digital Restoration of Costumes in Spring Outing Painting of Madam Guo," Sustainability, MDPI, vol. 14(19), pages 1-12, September.
    3. Chun Zhu & Kaixuan Liu & Xiaoning Li & Qingwei Zeng & Ruolin Wang & Bin Zhang & Zhao Lü & Chen Chen & Xiaoyu Xin & Yunlong Wu & Junjie Zhang & Xianyi Zeng, 2022. "Research on Archaeology and Digital Restoration of Costumes in DaoLian Painting," Sustainability, MDPI, vol. 14(21), pages 1-11, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kaixuan Liu & Jiayu Zhao & Chun Zhu, 2022. "Research on Digital Restoration of Plain Unlined Silk Gauze Gown of Mawangdui Han Dynasty Tomb Based on AHP and Human–Computer Interaction Technology," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    2. Yuqing Geng & Hongwei Zhu & Renjun Zhu, 2022. "Coupling Coordination between Cultural Heritage Protection and Tourism Development: The Case of China," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    3. Yangluxi Li & Lei Chen & Li Yang, 2023. "CFD Modelling and Analysis for Green Environment of Traditional Buildings," Energies, MDPI, vol. 16(4), pages 1-21, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:6232-:d:820028. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.