IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/4957672.html
   My bibliography  Save this article

3D Design Platform of Virtual National Costume Based on Digital Nonlinear Random Matrix

Author

Listed:
  • Mingyan Zhang
  • Luolan Shen
  • Ning Cao

Abstract

The traditional two-dimensional clothing CAD system is more and more difficult to meet the needs of the three-dimensional design of virtual national clothing products. Based on the digital nonlinear random matrix theory, this paper constructs a three-dimensional design platform for virtual ethnic clothing and proposes a weighted graph tree representation method for the deviation transfer process of nonlinear ethnic clothing. The model first analyzes the business links and information related to the deviation transfer modeling of ethnic clothing and establishes a hierarchical relationship tree, a method of expressing the order of ethnic clothing, and a method of expressing deviation. The weighted graph tree model and construction rules of the deviation transmission process realize the integrated expression of the deviation transmission information of ethnic clothing and solve the nonlinear problem in the transmission of ethnic clothing deviation. During the simulation process, the article uses the three-dimensional geometric modeling tool POSER to establish a standard entry model, edit it in 3DS MAX and export the file, read it, and parameterize it through programming, and realize the drawing of the three-dimensional avatar model based on OpenGL. The experimental results show that the parametric avatar model established by the system is accurate and realistic and can quickly convert the 3D style to the N-dimensional pattern.

Suggested Citation

  • Mingyan Zhang & Luolan Shen & Ning Cao, 2022. "3D Design Platform of Virtual National Costume Based on Digital Nonlinear Random Matrix," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, July.
  • Handle: RePEc:hin:jnlmpe:4957672
    DOI: 10.1155/2022/4957672
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/4957672.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/4957672.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/4957672?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:4957672. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.