Nonlinear Bone Based Rigs for Realistic Facial Animation: Confidential Report for FaceBook

Shaojun Bian, Anzong Zheng, Lin Gao, Greg Maguire, Willem Kokke

Research output: Book/ReportCommissioned report

Abstract

The facial movements of a character are commonly animated using a blendshape-based rig, which requires a large dataset and a significant amount of manual work to correct artefacts intrinsically caused by linear interpolation between the multiple blendshape targets. Another common approach uses a bone-based rig which can add a large degree of global nonlinearity, has less intrinsic artefacts but does not have the high fidelity of scan-based blendshape targets. In order to solve this problem, we combine a) the nonlinearity captured by a 4D scanner and b) high-fidelity captured scans into c) a bone-based rig. Our results show that reintroducing nonlinearity in a face rig improves accuracy and fidelity in a measurable and observable way, and that our method reduces manual labour significantly and can scale to other characters.
Original languageEnglish
Publication statusPublished - 27 Sep 2019

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  • HUMAIN: EKER

    Maguire, G., 28 Jul 2019

    Research output: Non-textual formSoftware

    Open Access
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