Research Status and Development Trend of Virtual Restoration of Cultural Relics in China—Based on the Visualization and Analysis of Literature Knowledge Mapping in the Past Twenty Years
DOI: 10.23977/infkm.2025.060112 | Downloads: 12 | Views: 302
Author(s)
Linglong Wang 1, Ziying Zhang 1
Affiliation(s)
1 Department of History and Literature, Beijing Union University, 197 West Beitucheng Road, Beijing, China
Corresponding Author
Ziying ZhangABSTRACT
In order to deeply understand the development status quo and future trends in the field of virtual restoration of cultural relics in China, and to promote the application of virtual restoration technology in the field of cultural relics protection, this paper, with the help of CiteSpace visualization and analysis tools, takes the Chinese literature database of China National Knowledge Infrastructure (CKNI) as the source of data, and conducts a knowledge mapping analysis of the relevant literature on virtual restoration of Chinese cultural relics in the last twenty years. The results show that from 2002 to 2024, the research on virtual restoration of cultural relics in China can be roughly divided into the preliminary exploration stage, the rapid development stage and the integration and innovation stage; high-frequency keywords such as "mural restoration" and "deep learning" represent the research hotspots of virtual restoration of cultural relics, and the application of artificial intelligence technology is the main application of virtual restoration of cultural relics. Research hotspots, the application of artificial intelligence technology is the hot topic of future research in the field of virtual restoration.
KEYWORDS
Virtual restoration of cultural artifacts, Citespace, Literature resources, Bibliometric analysisCITE THIS PAPER
Linglong Wang, Ziying Zhang, Research Status and Development Trend of Virtual Restoration of Cultural Relics in China—Based on the Visualization and Analysis of Literature Knowledge Mapping in the Past Twenty Years. Information and Knowledge Management (2025) Vol. 6: 84-95. DOI: http://dx.doi.org/10.23977/infkm.2025.060112.
REFERENCES
[1] Wu Yuhua and Hu Yungang, "Experiment on the Application of Data Acquisition and Virtual Restoration in the Restoration of Dazu Stone Carvings" [J], Scientific Research on Chinese Cultural Relics, No. 3, 2013, pp. 33-36.
[2] "Circular of the General Office of the State Council on the Issuance of the 14th Five-Year Plan for Cultural Relics Protection and Scientific and Technological Innovation" [J], Bulletin of the State Council of the People's Republic of China, No. 33, 2021, pp. 21-36.
[3] Du Peng: "Strengthening Technological Weaknesses to Empower High-Quality Development of Cultural Relics" [N], Science and Technology Daily, November 22, 2023, Page 1.
[4] Cui Yan: "Immovable Cultural Relics Can Be 'Looked at' or 'Immediately' " [N], Qingdao Daily, February 20, 2024, p.5
[5] Wu Mei, "A Bibliometric Analysis of 20 Years of <Language and Literature Application> Based on CiteSpace" [D], Nanjing: Nanjing Normal University, 2021, p. 56.
[6] Xiao Ming, Chen Jiayong, and Li Guojun, "Visualization and Analysis of Scientific Knowledge Graph Based on CiteSpace Research" [J], Library and Intelligence Work, Vol. 6, 2011, pp. 91-95.
[7] Lu Dongming, Pan Yunhe, Chen Ren: "Virtual Reproduction and Mural Restoration Simulation of Dunhuang Grottoes" [J], Journal of Surveying and Mapping, No. 1, 2002, pp. 12-16.
[8] Jue Wu, Jia-Nan Yu, and Su-Fei Chen, "Analysis of Research Status and Hot Spots of Immersive Virtual Technology in Cultural Heritage" [J], Creativity and Design, Vol. 3, No. 3, 2022, pp. 71-80.
[9] Jianbo Hu and Anxin Cui, "Visualization and Analysis of Carbon Peak Carbon Neutral Research Based on CiteSpace" [J], Ecological Economy, Vol. 2, No. 2, 2023, pp. 223-229.
[10] Hua Zhong, Lu Dongming, Pan Yunhe: "Research on Virtual Restoration and Evolutionary Simulation Model of Dunhuang Mural Paintings" [J], Chinese Journal of Image Graphics, No. 2, 2002, pp. 79-84.
[11] Lv Ke, Geng Guohua, and Zhou Mingquan, "Spatial Curve Matching Based on Hash Method” [J], Electronics Letters, Vol. 2, No. 2, 2003, pp. 294-296.
[12] LI Chunlong, ZHOU Mingquan, CHENG Xin,et al. A virtual restoration method for axisymmetric broken artifacts[J]. Journal of Computer-Aided Design and Graphics, 2006,(05):620-624.
[13] LIU Song, DING Haiyan, ZHAI Lianchun,et al. Research on analog pen system for digital restoration of Chinese painting and calligraphy artifacts[J]. Journal of Yunnan University (Natural Science Edition), 2007,(S2):295-300.
[14] Su Yunqiao. A Comprehensive Study on the Digital Restoration of Qingzhou Buddha Statues by Three-dimensional Technology [D]. Yantai University,2008.
[15] Zhang Mingfei. Research on computer-aided mural painting restoration based on generative adversarial network[D]. Northwest University,2019.
[16] Liang Long,Wang Kai. Research on fresco image restoration algorithm[J]. Computer CD-ROM Software and Applications,2013,16(07):114+116.
[17] PI Bingkun,WANG Shuwen,ZHANG Hongqiang.D-S evidence theory in mural painting image restoration algorithm[J]. Journal of Changchun Engineering College(Natural Science Edition),2015,16(04):89-92+107.
[18] Tong Yongdong, Research on Virtual Restoration of Color and Texture of Colored Plastic Relics [D], Beijing: University of Science and Technology Beijing, 2022, p. 86.
[19] Cao Ning, "Information Recovery of Smoked Areas of Monastery Murals Based on Spectral Imaging" [D], Beijing: Beijing Architecture University, 2021, p. 69.
[20] YANG Ying, XIAO Tan, NAN Jingfu, HUANG Qin, "Bibliometric Analysis of the Development Trend of Virtual Simulation Experimental Teaching in Colleges and Universities" [J], Experimental Technology and Management, Vol. 12, 2020, pp. 24-28.
[21] Haonan Wang, Boehmer Liu, and Yiyun Zhang, "A Review of Deep Reinforcement Learning (in English)" [J] Frontiers of Information Technology & Electronic Engineering, Vol. 12, No. 2020, pp. 1726-1745.
[22] Chen Yong and Tao Meifeng, "An overview of digital restoration methods for Dunhuang wall paintings" [J], Software Guide, Vol. 5, 2021, pp. 237-242.
[23] Longxue Hua and Yingliang Wu, "Review and Prospect of Process Mining Research Based on CNKI Bibliometric Analysis"[J], Journal of Management, Vol. 6, 2021, pp. 938-948.
Downloads: | 2979 |
---|---|
Visits: | 116183 |
Sponsors, Associates, and Links
-
Journal of Language Testing & Assessment
-
Military and Armament Science
-
Media and Communication Research
-
Journal of Human Movement Science
-
Art and Performance Letters
-
Lecture Notes on History
-
Lecture Notes on Language and Literature
-
Philosophy Journal
-
Science of Law Journal
-
Journal of Political Science Research
-
Journal of Sociology and Ethnology
-
Advances in Broadcasting