Evaluation of the UR3D algorithm using the FRGC v2 data set
نویسنده
چکیده
From a user’s perspective, face recognition is one of the most desirable biometrics, due to its non-intrusive nature. As a large number of face recognition systems have been developed over the past 15 years, their evaluation and comparison by an independent body becomes crucial. Face Recognition Vendor Tests (FRVT) are organized at regular intervals by the National Institute of Standards and Technology (NIST) and cooperating institutions. The last FRVT (2002) showed that no system was capable of offering the accuracy desired for field deployment. Thus the Face Recognition Grand Challenge (FRGC) was set up with the aim to build systems with an order of magnitude higher accuracy. We have applied our previous work on deformable models and 3D representations to the problem of recognizing faces, based on 3D and infrared facial data. The 3D component of our system (UR3D) has been tested on the FRGC v2 dataset and the results are reported here. These results gave us a much needed insight on the performance of UR3D and pointed to areas of further improvement.
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