One of the key factors to measure the progress of a research problem is the design of
appropriate evaluation protocols defined on suitable databases. Recently, the introduction of
comprehensive databases and benchmarks of face videos has had a great impact on the
development of new face recognition techniques. However, most of the protocols provided
for these datasets are limited and do not capture requirements of unconstrained scenarios.
That is why sometimes the performance of face recognition methods on current benchmarks …