🎥 NeRF 3D Reconstruction from Insta360 Video

Neural Radiance Fields for Geographic Research

Transform your 360° Insta360 videos into detailed 3D models using state-of-the-art NeRF technology. Powered by COLMAP and Nerfstudio with GPU acceleration.

⚠️ No GPU detected - Processing will be slower

📤 Input Configuration

Upload Insta360 Video

Frame Extraction Settings

Extraction FPS

Frames per second to extract (2-3 recommended)

1 10

Maximum Frames

More frames = better quality but longer processing

20 300

NeRF Training Settings

Training Iterations

More iterations = better quality (2000 recommended)

500 5000

⏱️ Expected Processing Time

Frame extraction: 1-2 minutes
COLMAP reconstruction: 5-10 minutes
NeRF training: 10-30 minutes
Total: ~20-45 minutes

💡 Tips for Best Results

Use well-lit outdoor scenes
Ensure camera movement has overlap
Avoid fast movements
50-150 frames optimal for most scenes

📊 Results

Ready to process. Upload a video and click 'Start Full Reconstruction'.

Extracted Frames Preview

📥 Download 3D Model (PLY)

🎓 Geographic Research Applications

Landscape Analysis

Terrain modeling and elevation analysis
Geomorphological feature detection
Erosion and landform studies

Urban Geography

3D city modeling
Building reconstruction
Urban planning visualization

Environmental Monitoring

Vegetation structure analysis
Coastal erosion monitoring
Land use change detection

Cultural Heritage

Archaeological site documentation
Historical structure preservation
Virtual field trips

📚 Technical Pipeline

Frame Extraction: Extract key frames from 360° video
COLMAP SfM: Structure from Motion for camera poses
NeRF Training: Neural network learns 3D scene representation
Export: Generate point cloud in PLY format

🔗 Export Compatibility

The generated PLY files work with:

CloudCompare (point cloud processing)
MeshLab (mesh editing)
Blender (3D modeling)
QGIS (geographic analysis)
ArcGIS (spatial analysis)