1. A method of recognizing a test face, the method comprising the steps of: using an eigenspace representation of the test face, computing a subspace that represents localization errors within the eigenspace by: calculating an actual localization error of the localization of the test face; accounting for the calculated actual localization error, projecting all possible morphed faces onto the eigenspace; for all possible faces, modeling the subspace where all of the possible localizations of the possible faces lie using of a Gaussian distribution; and then recognizing the test face based on the computed subspace.