Wilson, Cyrus A.Alexander, OlegTunwattanapong, BoromGhosh, Pieter PeersAbhijeetBusch, JayHartholt, ArnoDebevec, PaulA. Bargteil and M. van de Panne2013-10-312013-10-312011978-1-4503-0923-31727-5288https://doi.org/10.2312/SCA/SCA11/205-214We 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 posesequences 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 correspondencecomputation 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.