Image Processing Reference

In-Depth Information

(2)

where
S
x
represents the covariance matrix of the projected feature vector and tr(
S
x
) is the trace

to be found.
S
x
is introduced by

Therefore,

(3)

Deining the image covariance scater matrix, we have

(4)

We now obtain the
n
×
n
matrix of
G
t
from all training images, where there are
m
training

images of size
m
×
n
. Thus,
G
t
can be evaluated by

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