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Barcelonnette 10/2013. STAGE INSTRUMENTAIRE MASTER 2 3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO. What?. Understand the basic principles of multi-view photogrammetry Learn the steps involved in the processing workflow

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Presentation Transcript
slide2
What?
  • 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,…)
slide3
Why?
  • 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
slide7

3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO

Step 3 – Feature MatCHING

  • From pairwise matches a network (graph) of image matches is obtained
slide8

3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO

Step 4 – Solve Geometry (SfM)

R… Rotation

C… Translation

F… Focal length

X… Coordinates

STAGE INSTRUMENTAIRE MASTER II 10/2012

slide9

3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO

Step 4 – Solve Geometry (SfM)

  • Sparse point cloud and camera views
slide11

3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO

Step 5 – Dense matching

  • Patch-wise iteration of 3D point generation (computational intensive!)
slide12

3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO

Step 5 – Dense matching

  • Patch-wise iteration of 3D point generation (computational intensive!)

Point-cloud

Surface-mesh

Textured model

slide13

3D SURFACE RECONSTRUCTION WITH MULTIVIEW-STEREO

Further STEPS

  • Scaling and georeferencing
  • Comparison with LiDAR

STAGE INSTRUMENTAIRE MASTER II 10/2012