Computer Vision
Transcription
Computer Vision
Use of Image Mosaicing for Infrastructure Assessment Juan Brugada supervised by Dr. Kenichi Soga, Prof. Roberto Cipolla Engineering Department Bond Street C125 Shaft Inspection • Bolted Cast Iron rings 6m and 4m diameter with concrete lining. • Height: 20.5 m • Photos taken at 28 levels within the shaft and at 9 locations within each level • Photos stitched using Autostitch and Serif Panorama software Example Stitched photos for each level Level 1 H=0.6m Level 2 H=1.2m Level 3 H=1.8m Level 4 H=2.6m Level 5 H=3.2m Level 6 H=3.6m Level 7 H=4.1m Level 8 H=4.6m Level 9 H=5.1m Level 10 H=5.6m Level 11 H=6.1m Level 12 H=6.6m Level 13 H=7.1m Level 14 H=7.6m Level 15 H=8.1m Level 16 H=8.9m Level 17 H=9.5m Level 18 H=10m Level 19 H=11.3m Level 20 H=12m Level 21 H=13.6m Level 22 H=15m Level 23 H=16.4m Level 24 H=17.8m Level 25 H=18.5m Level 26 H=19.2m Level 27 H=20.2m Level 28 H=20.5m Stitching different Levels Levels 21-24 (Stitched manually) Levels 4 to 10 (Serif Panorama) Levels 11 to 14 (Autostitch) Levels 11 to 12 (Serif Panorama) Levels 15 to 16 (Autostitch) Levels 23 to 24 (Autostitch) Levels 22 to 24 (Serif Panorama) Combining Panoramas from different Levels Combined Panoramas Levels 4 to 10 Combined Panoramas Levels 11 to 12 Combined Panoramas Levels 5 to 6 Combined Panoramas Levels 20 to 21 Shepherd’s Bush DS-420B Shaft Inspection • Bolted cast iron rings 6m diameter, tiled with secondary lining • Height: 8.2 m • Photos taken at 10 levels within the shaft and at 9 locations within each level Level 1 H=0.32m Level 2 H=1.9m Level 3 H=2.3m Level 4 H=3.2m Level 5 H=4.6m Level 6 H=5.1m Level 7 H=5.7m Level 8 H=6.3m Level 9 H=6.9m Level 10 H=7.5m Stitching different Levels Levels 1 to 5 Levels 5 to 8 Levels 9 to 10 The images can be used to create inspection charts Image visualization Images can be visualized using: • UV mapping software as Unwrap3d in which images are applied as texture to wireframe models • Export to Quick Time or Real Player for cylindrical panorama visualiztion Images exported as Texture (Unwrap3d) Images exported as Texture (Unwrap3d) Images exported as Texture (Unwrap3d) Images exported to Quick Time Images exported to Quick Time Example of QTVR visualization in infrastructure monitoring Factors affecting the quality of the images • • • • • • Light intensity Light direction Focal Length of Lens Object Distance Aperture Focus • • • • • • Digitizing rate Field of View Balance Exposure Time Image Filtering Working Distance Lens Choice Factors affecting mosaicing • Change of aperture/exposure time • Vignetting (Intensity decreasing towards the edge of the image) • Parallax effect due to unwanted motion of the optical centre • Radial distortion Summary • Photos of individual levels could be stitched due to good overlap between images • Difficulty stitching vertically due to lack of overlap between photos at each level • Combining panoramas from different levels is possible with adequate overlap of photos between levels Summary • Image-mosaicing can be used to supplement inspection reports • Useful for electronic incorporation of field data • Further research into real-time mosaicing using video software Acknowledgements The shaft inspection images shown in this presentation were provided by Mr. Christopher Chew and Mr. Kevin Roberts of Metronet
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