Bayesian inference
Formulate as statistical inference problem
Prior model
p
P
(
d
)
Measurement model
p
M
(I
L
, I
R
|
d
)
Posterior model
p
M
(
d
| I
L
, I
R
)
p
P
(
d
) p
M
(I
L
, I
R
|
d
)
Maximum a Posteriori (MAP estimate):
maximize p
M
(
d
| I
L
, I
R
)