Neural network approaches to caricature generation

A caricature is defined as a humorous drawing of a human facial figure that makes some of its distinct features appear exaggerated. It is easily observed that the exaggerations made by different artists on facial components are often different and are non-linear. This uniqueness of the exaggerations signifies the drawing style of an artist, but has unfortunately been ignored in the design of existing computer based automatic caricature generation systems. Nevertheless learning the unique drawing style and modelling the non-linear exaggerations distinct to an artist provide the key but a real challenge to the computer based automatic generation of professional caricature. This Thesis proposes a face modelling framework that includes two novel face models, which are capable of representing human faces in caricaturing applications. [Continues.]