A Study on Perceived Similarity between Photograph and Shape Exaggerated Caricature

This paper investigates the relationship between the extent of exaggeration in a caricature and its face identification ability. As face recognition is largely influenced by facial deformations, we focused on finding the borderline between likeness and unlikeness by applying gradual alterations to the face shape of the subject being studied. Suggestions on manipulating the degree of similarity when generating a caricature will be given. The experimental environment in this research can be used as a user-friendly caricature generation system based on Exaggerating the Difference From the Mean face, which allows a user to freely control each generation step and design his or her own unique caricature portrait.