Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)

Research on Cultural Relic Restoration and Digital Presentation Based on 3D Reconstruction MVS Algorithm: A Case Study of Mogao Grottoes’ Cave 285

Authors
Mengyao Gao1, *
1Information Engineering Department, Southwest Jiaotong University Hope College, Chengdu, 610000, China
*Corresponding author. Email: 1807050220@stu.hrbust.edu.cn
Corresponding Author
Mengyao Gao
Available Online 16 October 2024.
DOI
10.2991/978-94-6463-540-9_76How to use a DOI?
Keywords
Mogao Caves; Multi-View Stereo; OpenMVS; Artifact Restoration
Abstract

This paper delves into the realm of three-dimensional (3D) reconstruction technology, specifically examining the principles underlying Multi-View Stereo (MVS) techniques, encompassing pose calculation, dense reconstruction, surface reconstruction, and texture mapping. It scrutinizes the application of these methodologies utilizing Colmap and Open Multi-View Stereo reconstruction library (OpenMVS) within Cave 285 of the Mogao Caves in Dunhuang, culminating in a meticulous technical evaluation and analysis. The primary objective is to deliberate upon the non-invasive, multi-angle accurate reconstruction of the cave, aimed at furnishing archaeologists with the utmost detailed information concerning its features, thereby facilitating the planning and execution of artifact restoration endeavors. This investigation discerns that MVS 3D reconstruction technology affords highly precise, multi-perspective models, while concurrently mitigating any potential secondary harm to the artifacts. Moreover, it elucidates the intricate contours of the artifacts, documents historical damage, and engenders comprehensive three-dimensional datasets for digital preservation. Subsequent research endeavors could continue to innovate and amalgamate enhancements, furnishing three-dimensional databases to diverse cultural heritage preservation entities for the enduring safeguarding of artifacts. Integration of technologies such as Convolutional Neural Networks holds promise for future applications, potentially contributing to the advancement of research and development within the metaverse.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
Series
Advances in Computer Science Research
Publication Date
16 October 2024
ISBN
978-94-6463-540-9
ISSN
2352-538X
DOI
10.2991/978-94-6463-540-9_76How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Mengyao Gao
PY  - 2024
DA  - 2024/10/16
TI  - Research on Cultural Relic Restoration and Digital Presentation Based on 3D Reconstruction MVS Algorithm: A Case Study of Mogao Grottoes’ Cave 285
BT  - Proceedings of the 2024 2nd International Conference on Image, Algorithms and Artificial Intelligence (ICIAAI 2024)
PB  - Atlantis Press
SP  - 744
EP  - 754
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-540-9_76
DO  - 10.2991/978-94-6463-540-9_76
ID  - Gao2024
ER  -