Expression transfer: A system to build 3D blend shapes for facial animation
| Autor: | Taehyun Rhee, Chandan Pawaskar, John P. Lewis, Kieran Carnegie, Wan-Chun Ma |
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| Rok vydání: | 2013 |
| Předmět: |
business.industry
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Iterative closest point Animation Facial recognition system Expression (mathematics) Mesh generation Face (geometry) Computer graphics (images) Computer vision Artificial intelligence business Computer facial animation Computer animation ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | IVCNZ |
| DOI: | 10.1109/ivcnz.2013.6727008 |
| Popis: | Blending face geometry in different expressions is a popular approach for facial animation in films and games. The quality of the animation relies on the set of blend shape expressions, and creating sufficient blend shapes takes a large amount of time and effort. This paper presents a complete pipeline to create a set of blend shapes in different expressions for a face mesh having only a neutral expression. A template blend shapes model having sufficient expressions is provided and the neutral expression of the template mesh model is registered into the target face mesh using a non-rigid ICP (iterative closest point) algorithm. Deformation gradients between the template and target neutral mesh are then transferred to each expression to form a new set of blend shapes for the target face. We solve optimization problem to consistently map the deformation of the source blend shapes to the target face model. The result is a new set of blend shapes for a target mesh having triangle-wise correspondences between the source face and target faces. After creating blend shapes, the blend shape animation of the source face is retargeted to the target mesh automatically. |
| Databáze: | OpenAIRE |
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