Eigenfaces resulting from PCA decomposition of the sample face set. This shows the first 64 eigenfaces out of 128. PCA calculated after converting from RGB to L*A*B color space. When vectorizing the faces, the three color channels were concatenated to form one long 1D vector for each face. The average face was not subtracted prior to performing PCA, so the first eigenface here is the average face.
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