Research on the development of a digital conservation system for cultural relics based on image recognition technology
Pages 55 - 59
Abstract
The system takes excavated cultural relics at archaeological sites during the excavation period as the research object, and composes the current situation of cultural relic protection during the excavation period. It proposes to build a 3D/2D model library of excavated cultural relics based on 3D laser scanning and imaging, data reconstruction, 3D modelling, 3D/2D graphics conversion and database; to realise a series of digital conservation such as accurate collection of archival data of excavated cultural relics and scientific management of cultural relics database, to shorten excavation cycle and improve excavation efficiency, and to provide theoretical basis and practical guidance for digital conservation of excavated cultural relics.
References
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Du Wenjuan. An introduction to the digital conservation of cultural relics [J]. Identification and Appreciation to Cultural Relics, 2019(23):102-104.
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Huang Jing; Liu Jianyu; Qu Liang; Lei Yong. The Application of Image Modeling Photographing Method in the Digital Conservation of Cultural Relics [J]. Relics and Museolgy, 2020 (05):92-99.
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Jin Feng. Research and Implementation of Archaeological Drawing Generation Technique [D]. Northwest University, 2014.
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Fang Mao-Lin. Research on Cultural Relics Protection Based on 3d Laser Scanning Technology [D]. Hefei University of Technology, 2017.
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Peng Yong. The Application Research of 3D Laser Scanning Technology on Rocky Historical Relics Conservation [D]. Chang'an University, 2015.
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Peng Yong; Yao Xiaowei; Hu Yongjie; XPCC Surveying & Designing Institute (Group) Co., Ltd. The Application Research of 3D Laser Scanning technology on Rocky Historical Relics Conservation [J]. Urban Geotechnical Investigation & Surveying, 2016(03):97-100.
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Lu Fan. Research on Hole-Filling Algorithm for Digital Cultural Relics Restoration [D]. Wuhan University of Technology, 2018.
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Sun Yichun. Research on three-dimensional survey and disease investigation of stone animal relics in Chengdu Museum Collection[D]. Minzu University of China, 2020.
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Published In
February 2023
398 pages
ISBN:9798400700200
DOI:10.1145/3592686
Copyright © 2023 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 31 May 2023
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BIC 2023
BIC 2023: 2023 3rd International Conference on Bioinformatics and Intelligent Computing
February 10 - 12, 2023
Sanya, China
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