Note, there is no sound in this video.įaceshift core technology goes back to the papers Face/Off: Live Facial Puppetry (Weise et al, 2009) and Realtime Performance-Based Facial Animation (Weise et al, 2011), these were both lead by Dr Thibaut Weise, today CEO of FaceShift. Watch a demo of Faceshift by the author, including the training phase with FACS-like poses and the real-time tracking stage with different animated characters. wp-content/uploads/2015/08/Faceshift_screen.mp4 There have been several versions of Faceshift, and this is an area with an active research community, with several recent SIGGRAPH papers, but Faceshift is one of the most popular commercial solutions on the market today. Coupled with markerless capture via depth sensing with inexpensive cameras, animators today can move from just a mirror to explore an expression at their desk to a 3D real-time digital puppet, inexpensively and with almost no lag.įaceshift is a product that allows realtime facial animation input or digital puppeteering via input from a number of different depth cameras onto a rigged face. This is conceptually simple and becoming available widely as a tool to help animators. One can aim to map based on direct point correlation or via a system that relies on an intermediate blendshape and matching system, with tracking leading to similar blendshapes in source and target models.
Performance driven facial animation is an increasingly important tool.
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