hi i am trying to reconstruct face images from eigenfaces derrived from original set of face images. i represented orig images by an ndarray with each row for each image and each column for pixel intensity.I sorted the eigenvectors such that each row of sortedeigenvectors is an eigenvector(first row being the most significant). Thus my facespace has each row correspond to an eigenface image.
facespace=dot(sortedeigenvectors_rowwise,adjfaces) where adjfaces=origfaces-averageface also i calculated the weights matrix by wk=dot(facespace[:selectednumberofEVectors,:],adjfaces.transpose() ).transpose() weights=abs(wk) Now I am trying to reconstruct the face images from this data.Since i am still learning this technique i couldn't figure out how to do the reconstruction can someone help/advise? RG _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
