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VideoTrace: Rapid interactive scene modelling from video

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The recovery of 3D models from video. Automatic reconstruction techniques 2D interactions ... Image-based plant modeling[Quan Sig06]?hair modelling[Wei et al Sig05] ... – PowerPoint PPT presentation

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Title: VideoTrace: Rapid interactive scene modelling from video


1
VideoTrace Rapid interactive scene modelling
from video
  • Anton van den Hengel
  • Anthony Dick
  • Thorsten Thormahlen
  • Ben Ward1 Philip H. S. Torr
  • Siggraph 2007

2
Outline
  • Introduction
  • Related work
  • Implementation
  • Conclusion

3
Introduction
  • The recovery of 3D models from video
  • Automatic reconstruction techniques 2D
    interactions
  • Automatically recover a cloud of 3D scene points
  • Modeling package such as Blender3D
  • Surface-based reconstruction of general object

4
Related Work
  • Photomodeler Eos System 2005
  • Image-based plant modelingQuan Sig06?hair
    modellingWei et al Sig05
  • Building models of regular scenes from structure
    and motion van den et al BMVC06

5
Video Pre-processing
  • Structure and motion analysis by use of Voodoo
    camera Tracker
  • 3D scene points (point cloud)
  • camera parameters
  • Superpixel segmentation accelerate
  • Region clustering
  • Edge finding

6
Structure from motion
  • Feature extraction
  • By use of tracked or matched features between
    multiple views
  • Iterative
  • Update zi,j
  • 3D point clouds camera parameters

7
Polygon Modeling and Tracing(1/3)
  • Fitting multiple planes to subsets of the 3D
    points
  • These sets of planes are then combined to form a
    set of hypothesized object models

8
Polygon Modeling and Tracing(2/3)
  • for each hypothesized model
  • distance from each face to the corresponding set
    of reconstructed 3D points
  • For hypothesized models which score well
  • Tracing the face in other frame (end point
    clustering)
  • Form a color histogram for each face
  • Difference between the histograms for
    corresponding faces in different images,
  • Sum over all faces

9
Curves Modeling(1/2)
NURBS Curves parametric form
10
Curves Modeling(2/2)
Max-flow concept
11
NURBS Surface
  • 1-rail sweep surface 2-rail sweep surface
  • Minimizes the distance between the object points
    and the surface
  • (Levenberg-Marquardt optimiser )

12
Mirror Planes
  • Estimate each surface separately
  • Lose regularity and symmetry
  • choose sets of 3 midpoints to form a mirror plane
  • Optimize the mirror plane

13
Conclusion
  • Well known limitations by use of structure and
    motion
  • degenerate camera motion
  • completely planar scenes
  • Using robust surface fitting methods
  • for instance reflective surfaces can still be
    modeled
  • Modeling parts of the scene that are not visible
    in the video
  • Combining the benefits of automatic and manual
    modeling systems
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