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• W2014091969 abstract "We present a semi-automatic technique for computing surface correspondences between 3D facial scans in different expressions, such that scan data can be mapped into a common domain for facial animation. The technique can accurately correspond high-resolution scans of widely differing expressions -- without requiring intermediate pose sequences -- such that they can be used, together with reflectance maps, to create high-quality blendshape-based facial animation. We optimize correspondences through a combination of Image, Shape, and Internal forces, as well as Directable forces to allow a user to interactively guide and refine the solution. Key to our method is a novel representation, called an Active Visage, that balances the advantages of both deformable templates and correspondence computation in a 2D canonical domain. We show that our semi-automatic technique achieves more robust results than automated correspondence alone, and is more precise than is practical with unaided manual input." @default.
• W2014091969 created "2016-06-24" @default.
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• W2014091969 date "2011-08-05" @default.
• W2014091969 modified "2023-09-27" @default.
• W2014091969 title "Facial cartography" @default.
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• W2014091969 doi "https://doi.org/10.1145/2019406.2019434" @default.
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