Dimensionality reduction
The set of
faces is a “subspace” of the set of images
•Suppose it is K dimensional
•We can find the best subspace using PCA
•This is like fitting a “hyper-plane” to the set of
faces
–spanned by vectors v1, v2, ..., vK
–any face
