Image Processing Reference
In-Depth Information
50
0
0
0
0
0
0
0
−50
−50
−50
−50
−50
−50
−50
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
x
x
x
x
x
x
x
100
100
100
100
100
100
100
50
50
50
50
50
50
50
0
0
0
0
0
0
0
−50
−50
−50
−50
−50
−50
−50
−100
−100
−100
−100
−100
−100
−100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
x
x
x
x
x
x
x
100
100
100
100
100
100
100
50
50
50
50
50
50
50
0
0
0
0
0
0
0
−50
−50
−50
−50
−50
−50
−50
−100
−100
−100
−100
−100
−100
−100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
x
x
x
x
x
x
x
100
100
100
100
100
100
100
50
50
50
50
50
50
50
0
0
0
0
0
0
0
−50
−50
−50
−50
−50
−50
−50
−100
−100
−100
−100
−100
−100
−100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
x
x
x
x
x
x
x
100
100
100
100
100
100
100
50
50
50
50
50
50
50
0
0
0
0
0
0
0
−50
−50
−50
−50
−50
−50
−50
−100
−100
−100
−100
−100
−100
−100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
x
x
x
x
x
x
x
100
100
100
100
100
100
100
50
50
50
50
50
50
50
0
0
0
0
0
0
0
−50
−50
−50
−50
−50
−50
−50
−100
−100
−100
−100
−100
−100
−100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
−100
−50
0
50
100
x
x
x
x
x
x
x
t=20
t=50
t=80
t=115
t=148
t=175
t=200
Figure 6.7:
Comparison of the results of the various algorithms proposed in
Torresani
et al.
[
2008
]
(BCD-LS, EM-PPCA, EM-LDS), as well as of the methods in
Xiao
et al.
[
2004b
] (XCK) and in
Brand
[
2005
] (B05) on the shark data. Green circles are the ground-truth points, and blue dots the reconstructed
ones. Courtesy of A. Hertzmann. © 2008 IEEE.
introduced. It starts by computing the mean shape, and then iteratively adds modes to explain as
much of the remaining variance of the data as possible. A stopping criterion based on cross-validation
was defined to avoid overfitting to measurement noise. In
Brandt
et al.
[
2009
], it was proposed to
find independent basis shapes by following an ICA-based approach. To this end, a regularization
term that minimizes the mutual information of the individual modes was introduced.


























































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































Search WWH ::

Custom Search