Date post: | 13-Jan-2016 |
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WHAT?
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Understand the basic principles of multi-view photogrammetry
Learn the steps involved in the processing workflow
Get to know and handle a wide range of software (Visual SFM, Meshlab,…)
WHY?
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Estimation of mass-balances is crucial for the understanding of mass-wasting processes (landslides, erosion)
Distribution of surface fissures influences hydrological processes (infiltration and drainage) and signal underlying mechanical processes
Image-based methods are can be cost-efficient and fast complements to LiDAR acquisitions, traditional topographic surveys, and traditional mapping
Relatively new techniques that sill need development and long-term evaluation for geomorphological investigations
STEP 3 – FEATURE MATCHING
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3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO
- From pairwise matches a network (graph) of image matches is obtained
STEP 4 – SOLVE GEOMETRY (SFM)
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3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO
STAGE INSTRUMENTAIRE MASTER II 10/2012
R… RotationC… TranslationF… Focal lengthX… Coordinates
STEP 4 – SOLVE GEOMETRY (SFM)
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3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO
Sparse point cloud and camera views
STEP 5 – DENSE MATCHING
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3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO
Patch-wise iteration of 3D point generation (computational intensive!)
STEP 5 – DENSE MATCHING
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3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO
Patch-wise iteration of 3D point generation (computational intensive!)
Point-cloud
Surface-mesh
Textured model
FURTHER STEPS
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3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO
STAGE INSTRUMENTAIRE MASTER II 10/2012
Scaling and georeferencing
Comparison with LiDAR