3D Reconstruction of Antique Stereo Pair Images - PowerPoint PPT Presentation

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3D Reconstruction of Antique Stereo Pair Images

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Uses only one image. Manual input required. Multiway Graph Cut [Boykov, et al '98] ... Use Graph Cut. Run Connected Components. Use user input to constrain ... – PowerPoint PPT presentation

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Title: 3D Reconstruction of Antique Stereo Pair Images


1
3D Reconstruction of Antique Stereo Pair Images
  • Indriyati Atmosukarto, Anna Cavender, Chandrika
    Jayant

2
Objective
  • What is the best way to reconstruct 3D scenes
    from antique stereo pair images?
  • How do we handle over-segmentation in more
    complicated stereo pair images?

3
Related Work
  • Single View Metrology Criminisi et al 99
  • Uses only one image
  • Manual input required
  • Multiway Graph Cut Boykov, et al 98
  • MinCut Algorithm Approximation with MRFs
  • Slanted Surfaces Birchfield et al 99
  • Uses Boykov and affine parameters
  • Connected components

4
Our Work
  • 1) Implement SVM
  • 2) Implement Birchfield with Affine
  • 3) Implement Graph Cut with User Constraints
  • 4) Compare Results

5
Single View Metrology, Method,
Modeling
  • Compute 3 vanishing points (x,y,z)
  • Compute homography
  • Define planes for 3D models
  • Texture mapping to planes

6
Birchfield- Affine
  • Graph cut code supplied
  • Iteration method in paper
  • Our idea
  • Affine parameter estimation using feature
    matching (SIFT)

7
Graph Cut- User Constraints
  • Use Graph Cut
  • Run Connected Components
  • Use user input to constrain regions and deal with
    oversegmentation
  • Used lines and rectangles-
  • Still very difficult even with user input!

8
Comparison
  • Disparity ? 3d model
  • 3d model ? disparity
  • Slanted surfaces

9
Results
10
Tsukuba Stereo
11
SVM
12
Graph Cut-User Constraints
Graph Cut
Ours
13
3D Reconstruction of Disparity Map
14
Venus Stereo Graph Cut User Constraints
15
3D Reconstruction
16
Brussels Stereo- SVM
17
Graph Cut- User Constraints
Graph Cut Line Constraint
Rectangle Constraint
18
House Stereo
19
SVM
20
Graph Cut -User Constraints
Graph Cut Ground
Constraint More Constraints
21
Conclusion
  • Antique photos hard to work with!
  • Complex
  • Noisy
  • Dont know camera parameters
  • Hard to compare methods
  • Segmentation techniques must be improved

22
Future Plans
  • Finish Affine Parameter Estimation
  • Automated Rectangles for Oversegmentation Problem
  • -First requires better user input method!
  • Noise reduction for antique photos
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