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

Author:

Ji Ran1,Cao Fan2

Affiliation:

1. 1 Wanjiang College of Anhui Normal University , Wuhu, Anhui, 241008 , China .

2. 2 Academy of Arts &Design , Tsinghua University , Beijing , , China .

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Reference35 articles.

1. Oram, A. (2017). Use the Scientific Method in Computer Science. Communications of the ACM, 60(2).

2. Kim, J. (2019). Author-Based Analysis of Conference Versus Journal Publication in Computer Science. Journal of the Association for Information Science and Technology, 70(1).

3. Chong long W U, Liu, G., Zhang, X. L., et al. (2016). Discussion on geological science big data and its applications. Chinese Science Bulletin.

4. Khan, N. Z., & Luxton-Reilly, A. (2016). Is computing for social good the solution to closing the gender gap in computer science? ACM.

5. Cao, S., Yu bing W U, Wei, J., et al. (2015). History Schools and Trend in Knowledge Map Investigation and Visualization Based on SSCI and CSSCI, 1.

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