face recognition - Eigenfaces Comlex number Eigenvalues -


when calculate covariance (a_transposed * a) , calculate eigenvalues , eigenvectors 1 small eigenval here have 3 images in training set.

-0.0000000242 17221292.9979712702 11732978.3353619855

this first unsorted eigenval super small. when svd on these eigenvectors need eigenvalues[i]^(-0.5) @ point desired eigenvectors (initial eigenvectors smaller in length since did (a_transposed * a) instead of ( * a_transposed )).

long storyshort, smallest eigenval turns out complex number when math.pow(eval_i,-0.5). suppose use comlex eigensolver ? such small number normal ? other eigenvalues huge, normal?

i have followed this

thanks


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