View%20interpolation%20from%20a%20single%20view - PowerPoint PPT Presentation

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View%20interpolation%20from%20a%20single%20view

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from a single view 1. Render object 2. Convert Z-buffer to range image 3. Re-render from new viewpoint 4. Use depths to resolve overlaps Q. How to fill in holes? – PowerPoint PPT presentation

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Title: View%20interpolation%20from%20a%20single%20view


1
View interpolationfrom a single view
  • 1. Render object
  • 2. Convert Z-buffer to range image
  • 3. Re-render from new viewpoint
  • 4. Use depths to resolve overlaps
  • Q. How to fill in holes?

2
View interpolationfrom multiple views
  • 1. Render object from multiple viewpoints
  • 2. Convert Z-buffers to range images
  • 3. Re-render from new viewpoint
  • 4. Use depths to resolve overlaps
  • 5. Use multiple views to fill in holes

3
Problems withview interpolation
  • resampling the range images
  • block moves image interpolation(Chen and
    Williams, 1993)
  • splatting with space-variant kernels(McMillan
    and Bishop, 1995)
  • fine-grain polygon mesh(McMillan et al., 1997)
  • missed objects
  • interpolate from available pixels
  • use more views

(from Chen and Williams)
4
More problemswith view interpolation
  • Obtaining range images is hard!
  • use synthetic images(Chen and Williams, 1993)
  • epipolar analysis(McMillan and Bishop, 1995)

epipolar geometry
cylindrical epipolar geometry
5
2D image-based rendering
Flythroughs of 3D scenes from pre-acquired 2D
images
  • advantages
  • low computation compared to classical CG
  • cost independent of scene complexity
  • imagery from real or virtual scenes
  • limitations
  • static scene geometry
  • fixed lighting
  • fixed-look-from or look-at point

6
Apple QuickTime VR
  • outward-looking
  • panoramic views at regularly spaced
    points
  • inward-looking
  • views at points on the surface of a sphere

7
A new solutionrebinning old views
  • must stay outside convex hull of the object
  • like rebinning in computed tomography

8
A light field is anarray of images
9
Spherical 4-DOF gantryfor acquiring light fields
  • 0.03 degree positioning error (1mm)
  • 0.01 degree aiming error (1 pixel)
  • can acquire video while in motion

10
Light field video camera

11
1st generation prototype
12
2nd generation prototype
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