Semi Automatic Retargeting for Facial Expressions of 3D Characters with Fuzzy logicBased on Blendshape Interpolation

Performance Driven Facial Animation using Blendshape Interpolation

This paper describes a method of creating facial animation using a combination of motion capture data and blendshape interpolation. An animator can design a character as usual, but use motion capture data to drive facial animation, rather than animate by hand. The method is effective even when the motion capture actor and the target model have quite different shapes. The process consists of sev...

Semi-Supervised Facial Animation Retargeting

This paper presents a system for facial animation retargeting that allows learning a high-quality mapping between motion capture data and arbitrary target characters. We address one of the main challenges of existing example-based retargeting methods, the need for a large number of accurate training examples to define the correspondence between source and target expression spaces. We show that ...

Facial Expressions of Emotions for Virtual Characters

Sketch-Based Controllers for Blendshape Facial Animation

The blendshape approach is a widely used technique to generate realistic facial animation. However, creating blendshape facial animations using traditional weight editing tools requires either memorizing the function of a large number of parameters, or a trial-and-error search in a high-dimensional space. Direct manipulation interfaces address this problem, allowing the artist to directly move ...

Enriching Facial Blendshape Rigs with Physical Simulation

Oftentimes facial animation is created separately from overall body motion. Since convincing facial animation is challenging enough in itself, artists tend to create and edit the face motion in isolation. Or if the face animation is derived from motion capture, this is typically performed in a mo-cap booth while sitting relatively still. In either case, recombining the isolated face animation w...