Modeling Facial Skin Motion Properties in Video and Its Application to Matching Faces across Expressions

In this paper, we propose a method to model the material constants (Young's modulus) of the skin in subregions of the face from the motion observed in multiple facial expressions and present its relevance to an image analysis task such as face verification. On a public database consisting of 40 subjects undergoing some set of facial motions associated with anger, disgust, fear, happy, sad, and surprise expressions, we present an expression invariant strategy to matching faces using the Young's modulus of the skin. Results show that it is indeed possible to match faces across expressions using the material properties of their skin.