---
language: en
license: mit
tags: [3d-reconstruction, foot-scanning, 3dgs, colmap, sugar]
library_name: other
pipeline_tag: other
---

# AMADEUS – 3D Foot Reconstruction Pipeline

AMADEUS (AI‑based Morphological Analysis & Design Engine for Unique Shoes) reconstructs a personalized 3D foot model from smartphone video and produces a ready-to-print shoe last. It combines YOLO11n-seg + SAM for segmentation, COLMAP for camera pose estimation, 3D Gaussian Splatting (3DGS) for point cloud optimisation, and SuGaR for mesh generation【528303309685221†L80-L94】.

## Pipeline
1. **Pre‑processing:** Segment the foot and scale marker from each frame and save masked images【717972134425363†screenshot】.
2. **3D Reconstruction:** Use COLMAP to build a sparse point cloud【894071447112061†screenshot】.
3. **Undistortion & Alignment:** Remove lens distortion and align the sparse model【894071447112061†screenshot】.
4. **3DGS Training:** Optimise a Gaussian point cloud to produce a dense representation【35837800387949†screenshot】.
5. **Meshing & Healing:** Convert the Gaussian field to a watertight mesh and remove noise【756719135168637†screenshot】.
6. **Scaling:** Convert to real-world dimensions using a checkerboard marker.
7. **3D Printing:** Slice and print the mesh.
8. **Troubleshooting:** Fix segmentation resolution mismatches and ensure adequate data【756719135168637†screenshot】.

## Installation and Usage
### Docker
```
docker build -t amadeus .
docker run --gpus all -it --rm \
  -v $(pwd)/data:/app/data \
  -v $(pwd)/output:/app/output \
  amadeus
chmod +x run_pipeline.sh
xvfb-run -a ./run_pipeline.sh
```

### Manual Setup
Clone submodules (`gaussian-splatting` and `SuGaR`), install dependencies from `requirements.txt`, install COLMAP, and run the commands in `run_pipeline.sh` manually.

## Citation
If you use this project, please cite:

```
@report{amadeus2025,
  title = {AI‑based Morphological Analysis & Design Engine for Unique Shoes},
  author = {Kim Taeryang and Park Hyundong and Park Chanwoo and Bang Hojun},
  year = {2025},
  note = {P–Practical Project third semester (AI) team 3 report}
}
```

## License
MIT License.