Analysis and reproduction of facial expressions for communicating clones
We present a novel view-based approach to quantify and reproduce facial expressions, by systematically exploiting the degrees of freedom allowed by a realistic face model, which embeds efficient mesh morphing and texture animations to synthesize facial expressions. For this purpose, we propose to use eigenfeatures, built from synthetic images, and design a linear estimator to interpret the responses of the eigenfeatures on a facial expression in terms of animation parameters.