This paper describes how facial shape can be modelled using a statistical model that captures variations in surface normal direction. We fit the model to intensity data using constraints on the surface normal direction provided by Lambert's law. We demonstrate that this process yields improved facial shape recovery and allows realistic synthesis of views under novel illumination and pose.
['William A. P. Smith', 'Edwin R. Hancock']
Recovering facial shape using a statistical surface normal model