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Preprint . 2025
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Preprint . 2025
License: CC BY
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ZENODO
Preprint . 2025
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Preserving Cultural Heritage with 3D Scanning Technologies: An Overview of Methods, Their Applications and Comparative Evaluation

Authors: Mirzaahmadov, Nurmuhammad;

Preserving Cultural Heritage with 3D Scanning Technologies: An Overview of Methods, Their Applications and Comparative Evaluation

Abstract

The preservation of cultural heritage using computer technologies is becoming a comprehensive discipline to study. 3D scanning technology, in particular, introduces non-contact preservation methods, namely photogrammetry, structured light, laser triangulation, computed tomography, and LiDAR, allowing documentation of delicate artifacts. Each 3D scanning method includes its own principles, case studies, and comparative efficiency in terms of accuracy, speed, portability, and applicability to natural materials. For virtual or physical replication of 3D scanned artifacts, the multimodal pipeline includes the optimal production of virtual museums or tangible replicas. This study provides an extensive overview of 3D scanning techniques for advanced methods of preserving cultural heritage, enhancing digital representation and promoting cultural globalization. This work is important for preserving cultural artifacts from potential loss, highlighting the value of digital technologies in cultural preservation.

Keywords

cultural digitization, digital twin, virtual reality, computed tomography, 3D scanning, cultural heritage, photogrammetry, cnc milling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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