How to adaptively add and use face images collected while authentication to improve performance of face authentication?

Question

My current project is to build a face authentication system. The constraint I have is: during enrollment, the user gives single image for training. However, I can add and us

Answer 1

To make your classifier robust you need to use condition independent features. For example, you cannot use face color since it depends on lighting conditions and state of a person itself. However, you can use distance between eyes since it is independent of any changes.

I would suggest building some model of such independent features and retrain classifier each time person starts authentication session. Best model I can think of is Active Appearance Model (one of implementations).