First one is to have an algorithm that can
classify whether the false acceptance or rejection is owed to facial
plastic surgery or to some other covariate such as aging or disguise.
Since some of the local plastic surgery preserves overall appearance
and the texture of the face, this challenge may not be significant
for some cases. However, in other cases including global plastic
surgery or full face lift cases where the entire structure of the face is
remodeled, it is of paramount interest to automatically differentiate
among plastic surgery, aging, and disguise. In other words, face
recognition algorithms must be able to single out the variations in
face due to facial plastic surgery from the variations due to other
covariates such as aging, disguise, illumination, expression and pose.
Despite many advances in face recognition techniques, to the best
of our knowledge, there exists no technique that can perform such
classification.
Even if we somehow