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Research on Information Visualization of Chinese Cultural Heritage Patterns in the Digital Perspective

Authors :
Ji Ran
Cao Fan
Source :
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Publication Year :
2024
Publisher :
Sciendo, 2024.

Abstract

In today’s highly developed information age, Chinese cultural heritage is gradually shrinking, and some of them are even in danger of disappearing. In this paper, the study of Chinese cultural heritage pattern information visualization from a digital perspective is based on the 3D modeling technology method, firstly, the acquisition of cultural heritage data is studied, and the principle and method of cloud data alignment are analyzed. The data of regular surface cultural heritage and heterogeneous complex surface cultural heritage patterns are processed respectively, and the basic theoretical basis of surface reconstruction is given, including data parameterization, surface interpolation method, and surface approximation method. Based on the comparison of the accuracy of three different methods for visualizing the information of Beijing cultural heritage patterns, the experimental analysis shows that the 3D model technology information visualization is highly accurate and stable, always maintaining an accuracy of 0.8, with low technical requirements, and the limitation is that it is not suitable for use in highly complex cultural heritage. The analysis shows that the information visualization of Chinese cultural heritage patterns is conducive to the protection of the dissemination and transmission of Chinese cultural heritage, and helps young people to establish correct socialist core values under the inculcation of Chinese cultural heritage.

Details

Language :
English
ISSN :
24448656
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Applied Mathematics and Nonlinear Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.7a3869378d124385ae4c8a4400d3c3e1
Document Type :
article
Full Text :
https://doi.org/10.2478/amns.2023.1.00396