Abstract

This paper presents a novel data-driven system for expressive facial animation synthesis and editing. Given novel phoneme-aligned speech input and its emotion modifiers (specifications), this system automatically generates expressive facial animation by concatenating captured motion data while animators establish and goals. A constrained dynamic programming algorithm is used to search for best-matched captured motion nodes by minimizing a cost function. Users optionally specify hard constraints (motion-node for expressing phoneme utterances) and soft constraints (emotion modifiers) to guide the search process. Users can also edit the processed facial motion node database by inserting and deleting motion nodes via a novel phoneme-Isomap interface. Novel facial animation synthesis experiments and objective trajectory comparisons between synthesized facial motion and captured motion demonstrate that this system is effective for producing realistic expressive facial animations.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call