  In Biometrics, facial uniqueness is commonly inferred from impostor
similarity scores. In this paper, we show that such uniqueness measures are
highly unstable in the presence of image quality variations like pose, noise
and blur. We also experimentally demonstrate the instability of a recently
introduced impostor-based uniqueness measure of [Klare and Jain 2013] when
subject to poor quality facial images.
