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April 4, 2026International Journal of Arts and TechnologyOpen Access

3D Geometric Reconstruction Method of Damaged Cultural Relics Based on Multimodal Data Fusion and Deep Learning

Feng Li Yajie Bai

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Key Points

The aim is to develop a method for accurately reconstructing damaged cultural relics in three dimensions using multimodal data sources.
Utilized deep learning algorithms for feature extraction and fusion.
Integrated various data modalities to enhance reconstruction accuracy.
Applied geometric modeling techniques for the visualization of relics.
Achieved significant improvements in reconstruction fidelity compared to traditional methods.
Demonstrated the potential for detailed 3D models of cultural relics from incomplete data.

Implication

This research explores geometric reconstruction of damaged cultural relics using deep learning techniques, indicating potential for preservation.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69d34eac9c07852e0af98529 https://doi.org/10.1504/ijart.2027.10077430

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