face recognition - Generalized eigenvalue for two matrices in OpenCV -

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face recognition - Generalized eigenvalue for two matrices in OpenCV -

hello working on project involving in face recognition using linear discriminant analysis(lda). lda demands find generalized eigen vectors between class scatter matrix , in class scatter matrix , struck. using opencv devc++ coding. problem looks

a*v=lambda*b*v

where , b matrices generalized eigen vectors should found lambda eigen values , v vectors

upon searching problem many people suggested go calculating inverse of b , multiplying a*v

(inv(b)*a)*v=lambda*v

and calculate eigen vectors inv(b)*a.

it seems solution in case scatter matrix b sigular. found determinant in order of 10^-36 .so cant find inverse , proceed above solution. can 1 suggest me way out of problem except saying code generalized eigen value problem separately.

i providing fisherfaces implementation in github repository @ https://github.com/bytefish/opencv/tree/master/lda. includes implementation of eigenvalue solver general matrices, see: https://github.com/bytefish/opencv/blob/master/lda/include/decomposition.hpp (i've ported great jama solver), exactely looking for.

if have problems code, please drop me note on projects page @ http://www.bytefish.de/blog/fisherfaces_in_opencv.

opencv face-recognition eigenvector eigenvalue

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