3D caricature generation by manifold learning

3D caricature generation is becoming an interesting and important research program, but it is impossible for the computer to draw an elegant caricature without any background. In this paper, we build a training set which contains 110 true face photographs and corresponsive 3D caricature models. Based on that training set, the LLE manifold learning is performed to discover the low dimensional embeddings. Between the 2D true face embeddings and 3D caricature embeddings, a regressive model is learnt by the Extreme Learning Machine. Experiments show that, the regressive manifold model is effective to generate the final 3D caricature for a 2D facial photograph.