Exploring particle-based caricature generations

Abstract

Computer generated caricatures are commonly created using either line drawing or image warping technique. Two main paradigms employed to automate the caricature generation process are variance exaggeration which exaggerates facial components that deviate from norms; and example-based generation which exaggerates facial components according to provided templates. In this paper, we explore a novel application of an interactive particle-based technique for generating a caricature of a given face. This does not require prior examples but relies on users' feedback to explore the caricature face space. In this approach, facial feature points are represented as particles and their movements are used to incrementally warp a given face until the desired exaggerations are achieved. We have shown that the proposed approach could successfully provide an interactive means for generating good quality facial caricatures. © 2011 Springer-Verlag.