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April 6, 2026International Journal of Arts and Technology0 citationsOpen Access

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

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FLFeng LiYBYajie Bai

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.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69d34eac9c07852e0af98529https://doi.org/10.1504/ijart.2027.10077430
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