Image Processing Reference
In-Depth Information
where S x represents the covariance matrix of the projected feature vector and tr( S x ) is the trace
of S x . To maximize the criterion in Equation (2) , the appropriate projection direction X needs
to be found. S x is introduced by
Deining the image covariance scater matrix, we have
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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