Accuracy assessment of a canal-tunnel 3D model...
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Transcript of Accuracy assessment of a canal-tunnel 3D model...
Accuracy assessment of a canal-tunnel 3D model by comparing photogrammetry and
laserscanning recording techniques P. Charbonnier*, P. Chavant*,** , P. Foucher*, V. Muzet*, D. Prybyla*, T. Perrin*, P.Grussenmeyer**, S. Guillemin**
* : CETE de l’Est, LRPC de Strasbourg, 11 rue Jean Mentelin, 67035 Strasbourg, France. {pierre.charbonnier, philippe.foucher, valerie.muzet, davy.prybyla, thibaut.perrin}@developpement-durable.gouv.fr
** : ICube laboratory UMR 7537, Photogrammetry and Geomatic Group, INSA de Strasbourg, 24 bd de la Victoire, 67084 Strasbourg, France. {paul.chavant, pierre.grussenmeyer, samuel.guillemin}@insa-strasbourg.fr
1. CONTEXT • Design of a visual inspection system • Test in a 475 m long canal tunnel • Images à Photogrammetric model • Terrestrial Laser Scanning • Control points for georeferencing
Figure 1: Terrestrial Scanner Laser C10 and resulting 3-D model (TLS) Figure 2: Photogrammetric model (PM),
camera configuration and obtained model (with camera poses)
2. COMPARISON METHODS
Terrestrial Laser Scanning (TLS)
Static acquisition: • 15 stations (1h per station) • Cloud absolute referencing • Scan strip registration • 1.5 billion points
Accuracy assessment of PM model taking TLS as a reference
Photogrammetric model
Dynamic acquisition: • More than 500*2 images • 3-D reconstruction : 334 900 points • 9 submodels
• Accuracy assessment Ø distance between a set of points and a reference set.
• Huge and heterogenous point cloud Ø Data resampling and specific computation structure
• Distance computation à 3 approaches : (1) Point-to-point method: point to point distances computation
(2) Cloud-to-triangulated mesh method: euclidean distances between point cloud and mesh (Delaunay triangulation)
X Y Z
952635.231 124890.738 270.068 952453.653 124748.478 270.043 952409.288 124713.742 270.053
X Y Z
952635.239 124890.735 270.056 952453.646 124748.477 270.024
952409.297 124713.747 270.036
0.014 m
230 m 287 m
(3) Cloud-to-cloud method: Octree structure, surface modeling, two step filter (Hausdorff distance), euclidean distances computation
3. RESULTS Datasets PMS TLS Length
1 6 scattered in tunnel 2 12507 68429 18 m 3 63295 76578 107 m 4 226679 201838 whole tunnel
Table 1: Number of points in both models for each dataset
Datasets Computation time
Accuracy
2 < 1 mn 5.7 cm 3 3.7 mn 5.8 cm 4 24 mn 4.1 cm
Table 2: “Cloud-to-triangular mesh” method: Accuracy comparison between photogrammetric and TLS model
Datasets Computation time
Accuracy
2 3.37 s 4.1 cm 3 22.32 s 5.6 cm 4 8.6 mn 4.2 cm
Table 3: “Cloud-to-cloud” method: Accuracy comparison between photogrammetric and TLS model.
Seven octree levels are used
Dataset 1
• Leica geosystems spherical targets
From
• TLS model and tacheometry
Accuracy • 1.7 cm
Result • TLS is a reference
4. CONCLUSION • Several methods for point cloud comparison in 3-D • Speed constraints:
• Octree subdivision • appropriate resampling
• TLS model as reference • Photogrammetric model accuracy : around 5 cm