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Defocus Difference Matting

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Defocus Difference Matting – PowerPoint PPT presentation

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Title: Defocus Difference Matting


1
Defocus Difference Matting
  • Wojciech Matusik

Morgan McGuire
Brown University Graphics Group
Mitsubishi Electric Research Laboratory
2
Studio Matting Problem
  • Remove background
  • Film Television
  • Studio environment
  • Controlled set
  • Controlled lighting
  • Sub-pixel precision (matte)
  • Need perfect results
  • Hardest test case fine hair structure

3
Blue-Screen Matting
  • Benefits
  • De facto standard
  • Controlled background acceptable in studio
  • Very fast
  • Drawbacks
  • Foreground cannot contain blue
  • Reflected blue light
  • Fresnel effect--blue borders

4
Related Work
  • Difference Matting Qian and Sezan 99
  • Pre-recorded static background
  • Triangulation Matting Smith and Blinn 96
  • Two different static backgrounds
  • Only works for images
  • Defocus Video Matting McGuire et al. 05
  • Arbitrary unknown dynamic background
  • Defocus allows cameras to simultaneously see same
    foreground, different background

5
Wide-Field Background
6
Narrow-Field Background
7
Wide-Field Image
8
Narrow-Field Image
9
Result
10
New Background
11
Outline
  • Camera design
  • Solving compositing equation for ?
  • Robustness to ill-conditioning
  • Background design

12
Beam-Splitters
10
90
13
Time-Multiplexing
  • Aperture that changes from f /12 to f /1.6 at 120
    Hz
  • Not possible with physical iris
  • Momentum!
  • Not possible with LCD
  • Not enough contrast (110, need 1500)
  • Cant refresh fast enough
  • Solution ferro-electric liquid crystal and
    polarizers

14
Time-Multiplexing
V. Polarizer
H. Polarizer
FELC OFF
Imager
0.6 - 10 kHz Strobe
X
Pinhole Aperture
X
V
15
Time-Multiplexing
V. Polarizer
H. Polarizer
FELC ON
Imager
X
Pinhole Aperture
V
16
Time-Multiplexing
V. Polarizer
H. Polarizer
FELC ON
Imager
X
Pinhole Aperture
V
17
Design Tradeoffs
Calibration
Size
Motion
Beam-splitter
Hard
2x
Perfect
Time-multiplexing
None
Normal Lens
Requires optical flow
18
Algorithm
19
Defocus Composite
Wide-field Composite
Narrow-field Composite
  • h is aperture mask (blur kernel)

20
Solve for ?
Known values
21
Solution
22
Solution
  • Ill-conditioned when denominator is zero
  • Interpolate at these pixels from neighbors

23
Solution
24
Solution
  • Sums and differences of known images
  • Very fast to compute

25
Background Design
26
Background Design
  • Average color white
  • Avoid blue-spill
  • Red green out of phase
  • Minimize ill-conditioning
  • Green blue in phase
  • Cameras much more sensitive to red

27
Results
28
Narrow-Field Image
29
Result
30
Narrow-Field Image
31
Result
32
New Background
33
Wide-Field Image
34
Result
35
Future Work
  • Real-time implementation
  • Video
  • Camera design
  • Time multiplexing
  • Beam-splitters
  • Automatic calibration

36
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