IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5059511.html
   My bibliography  Save this article

A Design Method of Virtual Folk Museum Roaming System Based on Visual Interaction Technology

Author

Listed:
  • Yifei Li
  • Vijay Kumar

Abstract

The effective display of museums can greatly improve the attention of museums. The traditional museum display methods are old and old-fashioned. Aiming at the lack of vivid and immersive display in folklore museums, based on augmented reality technology and artificial intelligence, a virtual folklore museum roaming system based on visual interaction technology is proposed for 3D visualization of cultural heritage. The method applies the 6D pose estimation algorithm of objects to the display of museum objects. 6D pose estimation of objects refers to detecting objects present in an image and estimating their 3D position and orientation relative to the observer. In the field of augmented reality, 6D pose estimation is used to measure the pose of objects in the real environment and add virtual objects to it with the correct pose, thereby realizing augmented reality applications on the mobile side. The experimental results show that the 6D pose estimation method proposed in this paper has an accuracy rate of 93.3% and a running speed of 30 frames per second, which meets the needs of augmented reality applications and can be used in augmented reality museum display systems to provide them with vivid interactive content. Breaking through the time and space limitations of cultural heritage objects, it brings an immersive visiting experience to the audience.

Suggested Citation

  • Yifei Li & Vijay Kumar, 2022. "A Design Method of Virtual Folk Museum Roaming System Based on Visual Interaction Technology," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, May.
  • Handle: RePEc:hin:jnlmpe:5059511
    DOI: 10.1155/2022/5059511
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5059511.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5059511.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5059511?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:5059511. 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.