Disney Research



Facial motion retargeting approaches often transfer expressions by establishing correspondences between shared units of motion, such as action units, or spatial correspondences of landmarks between the source actor and target character faces. When the actor and character are structurally dissimilar, shared units of motion or spatial landmarks may not exist, and subtle styles of performance may differ. We present a method to deconstruct the content of an actor’s facial expression into three layers using an additive composition function, transfer the content to parameter-parallel layers for the character, and reconstruct the character’s expression using the same composition function. Our algorithm uses a parameter-parallel layered model of facial expression for both the actor and character, separating the content of facial expressions into emotion, speech, and eye-blink layers. Facial motion in each layer is embedded in simplicial bases, each of which encodes semantically significant configurations of the face. We show the transfer of facial motion capture and video-based tracking of the eyes and mouth of an actor to a number of faces with dissimilar facial structure and expressive disposition.

Copyright Notice

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author’s copyright. These works may not be reposted without the explicit permission of the copyright holder.