Distributed Solution of the Blendshape Rig Inversion Problem

Stevo Racković, Cláudia Soares, Dušan Jakovetić

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Abstract

The problem of rig inversion is central in facial animation, but with the increasing complexity of modern blendshape models, execution times increase beyond practically feasible solutions. A possible approach towards a faster solution is clustering, which exploits the spacial nature of the face, leading to a distributed method. In this paper, we go a step further, involving cluster coupling to get more confident estimates of the overlapping components. Our algorithm applies the Alternating Direction Method of Multipliers, sharing the overlapping weights between the subproblems and show a clear advantage over the naive clustered approach. The method applies to an arbitrary clustering of the face. We also introduce a novel method for choosing the number of clusters in a data-free manner, resulting in a sparse clustering graph without losing essential information. Finally, we give a new variant of a data-free clustering algorithm that produces good scores with respect to the mentioned strategy for choosing the optimal clustering.
Original languageEnglish
Title of host publicationSA '23
Subtitle of host publicationSIGGRAPH Asia 2023 Technical Communications
EditorsStephen N. Spencer
Place of PublicationNew York
PublisherACM - Association for Computing Machinery
Number of pages4
ISBN (Print)979-8-4007-0314-0
DOIs
Publication statusPublished - 28 Nov 2023
Event2023 SIGGRAPH Asia 2023 Technical Communications, SA Technical Communications 2023 - Sydney, Australia
Duration: 12 Dec 202315 Dec 2023

Publication series

NameSIGGRAPH-ASIA: Computer Graphics and Interactive Techniques-Asia
PublisherACM - Association for Computing Machinery

Conference

Conference2023 SIGGRAPH Asia 2023 Technical Communications, SA Technical Communications 2023
Country/TerritoryAustralia
CitySydney
Period12/12/2315/12/23

Keywords

  • blendshape animation
  • face segmentation
  • inverse rig problem

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