Data-Driven Approach to Synthesizing Facial Animation Using Motion Capture
Kerstin Ruhland, Mukta Prasad, Rachel McDonnell · IEEE Computer Graphics and Applications · 2017
Producing cartoon animations is a laborious task, and there is a distinct lack of automatic tools to help animators, particularly with creating facial animation. The proposed method uses real-time video-based motion tracking to generate facial motion as input and then matches it to existing hand-created animation curves. The synthesized animations can then be refined and polished by an animator, saving considerable time in overall production.