FireStats is not installed in the database
Laryngitis homøopatiske midler køb propecia edderkop bid retsmidler

Approach to improve face recognition

Author:micahrye @ January 28th, 2008 Leave a Comment

from article “Accurate face recognition is critical for many security applications. Current automaticface-recognition systems are defeated by natural changes in lighting and pose, which often affect face images more profoundly than changes in identity. The only system that can reliably cope with such variability is a human observer who is familiar with the faces concerned. We modeled human familiarity by using image averaging to derive stable face representations from naturally varying photographs. This simple procedure increased the accuracy of an industry standardface-recognition algorithm from 54% to 100%, bringing the robust performance of a familiar human to an automated system.” Face Recognition Article