A LEARNING-BASED SYSTEM FOR GENERATING EXAGGERATIVE CARICATURE FROM FACE IMAGES WITH EXPRESSION

In this paper, we propose a learning-based system for generating exaggerative caricatures with expression. Most of the previous works can only deal with frontal face images with neutral expression without glasses or hats, and are unable to apply more than one drawing prototype which was learned from the caricatures drawn by one single cartoonist at a time. The proposed caricature generation system exaggerates face images with expressions and learns the drawing prototypes from training data as well. Experimental results show that our system can capture the features selected by the artist and exaggerate them in similar ways.