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Given a large database of images (in effect, a book of mug shots) and a photograph, the problem was to select from the database a small set of records such that one of the image records matched the photograph.
The success of the method could be measured in terms of the ratio of the answer list to the number of records in the database.
To accomplish this normalization, the program first tries to determine the tilt, the lean, and the rotation.
Some other attempts at face recognition by machine have allowed for little or no variability in these quantities.In 2006, the performance of the latest face recognition algorithms was evaluated in the Face Recognition Grand Challenge (FRGC).