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clean plate (background) B
image with foreground I
Figure 2.27. A clean plate and an image containing a foreground element.
2.4 Consider
as a function of I b and I g in Vlahos's equation ( 2.4 ), where both
color channels are in
α
1
2 and a 2 =
1. What
happens as a 1 is increased for fixed a 2 ? What happens as a 2 is increased for
fixed a 1 ? Interpret your results.
2.5 The color I i =[
[
0, 1
]
. Plot this surface for a 1 =
] was observed in front of a pure blue background.
Compute two possibilities for (
40, 50, 150
α i , F i ), keeping inmind both valuesmust stay
in a valid range.
2.6 Derive the triangulation formula for
α
; that is, prove that the solution of
Equation ( 2.5 ) is given by Equation ( 2.6 ).
2.7 A pixel is observed to have intensity
]
[
150, 100, 200
in front of a pure
]
blue background, and intensity
[
140, 180, 40
in front of a pure green
using triangulation.
2.8 Prove that Equation ( 2.16 ) and Equation ( 2.17 ) minimize the Bayesian
matting objective function.
background. Compute
α
2.9
Suppose that the foreground and background pdfs in amatting problemare
modeled as Gaussian distributions with
150
150
150
20 5 5
5 08
585
µ
=
=
(2.88)
F
F
50
50
200
500
050
0015
µ
=
=
(2.89)
B
B
] , compute F , B , and
If the observed pixel color is
[
120, 125, 170
α
by alter-
nating Equation ( 2.16 ) and Equation ( 2.17 ), assuming
σ d =
2. Repeat the
10 and interpret the difference.
2.10 Continuing Problem 2.9 , suppose the foreground is modeled with a mix-
ture of two Gaussian distributions: the one from Equation ( 2.88 ) and one
experiment with
σ d =
 
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