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Case Study

3D Reconstruction Historical Artifacts

3D Reconstruction Historical Artifacts

Category:

Cultural Heritage & AI

Impact:

12 Weeks | Digital Preservation

Background

Cultural institutions and researchers face difficulties in preserving and studying fragile historical artifacts. Physical handling increases the risk of damage, while limited access prevents broader research and public engagement. A scalable, non-invasive digital solution was needed to preserve artifacts while making them accessible for education, research, and virtual exhibitions.

Project Goals

  • Convert 2D images into accurate 3D models
  • Preserve fine details without physical handling
  • Enable digital access for researchers and educators
  • Support virtual exhibitions and cultural preservation

Our Approach

ML Model Development

Built depth-estimation models using LiheYoung/depth-anything-small-hf to extract precise artifact geometry.

3D Reconstruction

Generated 3D meshes and applied high-resolution texture mapping to preserve authentic details.

Real-Time Exploration

Created scalable models suitable for research, restoration planning, and virtual displays.

Cloud Deployment

Enabled storage and sharing of 3D models through cloud platforms for accessibility and collaboration.

Key Results

  • Accurate 3D reconstructions from 2D sources
  • Preservation of delicate artifact details
  • Scalable virtual archives for researchers and museums
  • Enhanced accessibility for education and public exhibitions

Technologies Used

Python
Python
PyTorch
PyTorch
Depth Anything (LiheYoung)
3D Modeling Libraries
Cloud Storage & Visualization Tools

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