Parametrically Controlled Synthetic Imagery Experiment for Face Recognition Testing
November 2003
Nicholas M. Orlans, The MITRE Corporation
Alan T. Piszcz, The MITRE Corporation
Richard J. Chavez, The MITRE Corporation
ABSTRACT
The use of synthetic imagery for testing biometric systems is
relatively new and in need of further exploration. In this paper, we
describe methods and procedures for using synthetic images
generated from shape and texture data to refine and extend the
current state of the art of face recognition performance testing.
Two example experiments are presented based on the canonical
Facial Recognition Vendor Test 2000—pose experiments and
temporal experiments. We demonstrate how the use of
synthetically generated face models (and resulting images) can
enhance and extend existing test protocols and analysis. These
methods and results will be of use to developers and practitioners
alike.
Additional Search Keywords
Biometric systems, biometrics testing, face recognition, performance evaluation, synthetic imagery, 3D face modeling
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