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Visual Shapes of Silhouette Sets

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The maximal solid shape consistent with the silhouettes ... Interpolate 3D points obtained from previous step to reconstruct shape of an object ... – PowerPoint PPT presentation

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Title: Visual Shapes of Silhouette Sets


1
Visual Shapes of Silhouette Sets
J. S. Franco, M. Lapierre, E. Boyer
  • Wonwoo Lee
  • 2006. 07. 28
  • GIST U-VR Lab.

2
Introduction
  • Shape from Silhouettes
  • Extensively used in modeling dynamic and
    non-rigid objects
  • Visual hull
  • The maximal solid shape consistent with the
    silhouettes
  • Not always a good approximation, when observing
    smooth surface with few cameras

3
In This Paper
  • Purpose of the paper
  • To find better approximations of an object shape
    given its silhouettes
  • Keeping the ability to model in real-time
  • Visual Shapes
  • Silhouette consistent shapes
  • Projected silhouette boundaries match the given
    silhouette contours

4
3D Reconstruction with Visual Hull
Camera calibration
Image Acquisition
Background Subtraction
Silhouettee detection
Visual Hull computation
3D Model Generation
5
Preliminaries
  • Viewing cone
  • The closure of viewing rays
  • Visual hull
  • The intersection of viewing cones
  • Viewing cone strip
  • Contributions of a silhouette contour to the
    boundary surface of the visual hull
  • Viewing edges
  • Contributions of viewing rays to the visual hull
    surface

6
Visual Shapes
  • Let S be a set of scene silhouettes associated to
    a set of viewpoints C.
  • The Visual shapes V(S, C) of S and C are space
    regions V such that
  • All rim points on the surface of V belong to
    viewing cone strips of S
  • All viewing cone strips of S are tangent to V

7
Computation of Visual Shapes
  • Procedure
  • Identify the contributions of the visual shapes
    inside the viewing edges
  • Estimate the surface connecting the contributions
  • Constraints
  • Thining viewing cone strips
  • Single contact point
  • Local surface with order 2

8
Contribution along viewing edges
  • Thining viewing edges
  • Calculate viewing edges by projection
  • Reconstruct visual shapes by thining the edges
  • Single contact point
  • Choose a point inside a viewing edges
  • Assumption Photo-consistency, etc.
  • Unpredictable local behavior
  • Local surface with order 2
  • Predictable local behavior

9
Contribution along viewing edges
Local order 2
Single contact point
Thining viewing cone strips
Visual hull
10
Surface Reconstruction
  • Interpolate 3D points obtained from previous step
    to reconstruct shape of an object
  • Delaunay tetrahedrization
  • Generate 3D mesh from a 3D point set by using
    tetrahedrons
  • Carving to preserve consistency with silhouettes
  • Visual shapes are the union of the tetrahedrons
    consistent with all the input silhouettes

11
Local order 2
Single contact point
Thining viewing cone strips
Visual hull
12
Conclusion
  • Visual shapes
  • A class of silhouette consistent shapes
  • Useful to characterize shapes that project onto a
    set of silhouettes
  • Robust to reconstruct smooth surfaces
  • Future work
  • Visual shapes over time sequence
  • Photometric constraint
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