Reconstruct 3D models from drone footage using VisualSFM & Meshlab
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2016 10-13 NEDev 5min
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Reconstruct 3D models from drone footage using VisualSFM & Meshlab
- 1. Reconstructing 3D Models from Drone Flights or How I reconstructed a 3D model of a ruined church I’d never been to just using YouTube, Docker, VisualSFM and Meshlab, and you can too. Andrew Hatch @ashatch
- 3. 3D scanning with structured light
- 4. 3D scanning with RGB-D sensors
- 5. Tang, Liang, Guo, Wang, "Photogrammetry-based two-dimensional digital image correlation with nonperpendicular camera alignment", Opt. Eng. 51(2), 2012
- 6. Pose estimation in PTAM
- 9. VisualSFM (Structure from Motion) http://ccwu.me/vsfm/
- 10. docker run -v /data -it ryanfb/visualsfm /bin/bash $ avconv -i footage.mp4 -r 1/1 -qscale:v 1 stills/frame$08d.jpg $ VisualSFM sfm+pairs+pmvs stills/ redchurch.nvm @8 ryanfb.github.io VisualSFM in Docker
- 11. point cloud
- 13. Processing point clouds • Poisson Surface Reconstruction • Mesh cleanup • Fill/close holes • Cleanup non-manifold edges and faces • Texture from registered rasters
- 14. Mesh
- 15. Current Research
- 16. ElasticFusion: Dense SLAM Without A Pose Graph, T. Whelan, S. Leutenegger, R. F. Salas-Moreno, B. Glocker and A. J. Davison, RSS '15
- 18. Further info • Workflow: • https://ryanfb.github.io/etc/2014/10/22/drone_photogrammetry_workflow.html • The Red Church Dating to the late 5th–early 6th century YouTube video by Kostadin Dimov • PTAM: http://www.robots.ox.ac.uk/~gk/PTAM/ • VisualSFM http://ccwu.me/vsfm/ • ElasticFusion http://www.imperial.ac.uk/dyson-robotics-lab/downloads/elastic-fusion/