Method of recognizing partially occluded and/or imprecisely localized eaces
US7027620 Patents
A method of recognizing a test face given an imprecise localization and/or a partially occluded face. Using an eigenspace representation of the learning image, a Subspace is computed that represents localization errors within the eigenspace. This is computed by calculating an actual local ization error of the localization of the learning image. Accounting for the calculated actual localization error, all possible morphed faces are projected onto the eigenspace. For all possible faces, the subspace is modeled where all of the possible localizations of the possible faces lie using a Gaussian dis
5 claims. 36,498 characters of text.