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Physical Face Cloning
Bernd Bickel, Peter Kaufmann, Markus Gross, Wojciech Matusik, Paul Beardsley, Thabo Beeler
Fabrication-oriented method for cloning the physical mechanics of a human face into a robotic or animatronic face system.
Abstract
This paper presents a complete process for designing, simulating, and fabricating synthetic skin for an animatronics character that mimics a given subject's face and expressions. The process begins by measuring the elastic properties of a silicone material used to manufacture synthetic soft tissue, then captures 3D facial expressions of a target subject through performance capture. A physics-based optimization scheme, built on a neo-Hookean finite element model, jointly determines the thickness of the synthetic skin and the actuation parameters of the robotic base that best match the target expressions. The method is validated by physically cloning a real human face onto an animatronic figure via injection molding.
How to read this
- Category
- Method / fabrication pipeline: cloning a face into animatronic skin
- Contributions
- An end-to-end process to design, simulate, and fabricate synthetic silicone skin for an animatronic character matching a subject's face
- Measurement of the silicone's elastic properties plus performance capture of the target subject's facial expressions
- A neo-Hookean FEM physics-based optimization that jointly solves for skin thickness and robotic actuation parameters, validated by physically cloning a real face
- Context
- Combines facial performance capture with physically-based FEM simulation of soft tissue, applied to the fabrication/animatronics setting rather than pure on-screen rendering.
- Correctness
- Validated by actually fabricating an animatronic face via injection molding, which is strong evidence; the results are bounded by the neo-Hookean material model, the captured expression set, and the actuation hardware, so matching is approximate and constrained by what the physical base can actuate.
- Clarity
- Accessible as a pipeline narrative; a first pass conveys the design-simulate-fabricate loop, a second pass is needed for the FEM optimization formulation.
- How to read it
- First pass for the full pipeline and the joint thickness/actuation optimization idea; second pass on the neo-Hookean FEM and the optimization setup if you care about the physics or fabrication side.
Related work
- Fully Automatic Generation of Anatomical Face Simulation Models 2015 / SCA
- Art-Directed Muscle Simulation for High-End Facial Animation 2016 / SCA
- Building Accurate Physics-based Face Models from Data 2019 / SCA
- Automatic Determination of Facial Muscle Activations from Sparse Motion Capture Marker Data 2005 / SIGGRAPH
Keywords
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