research-article

A hybrid approach to facial rigging

Authors:

David Komorowski,

Vinod Melapudi,

Darren Mortillaro,

Gene S. LeeAuthors Info & Claims

SA '10: ACM SIGGRAPH ASIA 2010 Sketches

Article No.: 42, Pages 1 - 2

https://doi.org/10.1145/1899950.1899992

Published: 15 December 2010 Publication History

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Abstract

In production environments, facial rigging is commonly done by either geometric deformations or blendshapes. Geometric deformations are driven by simulated muscle actions, which are loosely based upon the dynamics of facial tissue [Magnenat-Thalmann et al. 1988]. Blendshapes interpolate a large number of sculpted shapes [Bergeron and Lachapelle 1985]. The former approach is intuitive, yet slow and less precise. The latter is fast, yet memory intensive and sensitive to model changes. Conventional implementations of both approaches are difficult to generalize in order to build rigs quickly and retarget animation efficiently.

References

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Bergeron, P., and Lachapelle, P. 1985. Controlling facial expressions and body movements in the computer-generated animated short 'Tony De Peltrie'. In SIGGRAPH '85: ACM SIGGRAPH 1985 Tutorial Notes, ACM, New York.

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[2]

Ekman, P., and Frisen, W. 1978. Manual for the Facial Action Coding System. Consulting Pyschologists Press, Palo Alto, CA.

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Lee, G. S., and Hanner, F. 2009. Practical experiences with pose space deformation. In SIGGRAPH ASIA '09: ACM SIGGRAPH ASIA 2009 Sketches, ACM, New York, NY, USA, 1--1.

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[4]

Lewis, J. P., Cordner, M., and Fong, N. 2000. Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation. In SIGGRAPH '00: Proceedings of the 27th annual conference on Computer graphics and interactive techniques, ACM Press/Addison-Wesley Publishing Co., New York, NY, USA, 165--172.

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Magnenat-Thalmann, N., Primeau, E., and Thalmann, D. 1988. Abstract muscle action procedures for human face animation. Visual Computer 3, 5, 290--7. MIRALab, HEC/IRO, Montreal Univ., Que., Canada.

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Vilchis CPerez-Guerrero CMendez-Ruiz MGonzalez-Mendoza M(2023)A survey on the pipeline evolution of facial capture and tracking for digital humansMultimedia Systems10.1007/s00530-023-01081-229:4(1917-1940)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1007/s00530-023-01081-2
Somepalli MCharan MShruthi SPalaniswamy S(2021)Implementation of Single Camera Markerless Facial Motion Capture using Blendshapes2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)10.1109/CSITSS54238.2021.9683460(1-6)Online publication date: 16-Dec-2021
https://doi.org/10.1109/CSITSS54238.2021.9683460
Zollhöfer MThies JGarrido PBradley DBeeler TPérez PStamminger MNießner MTheobalt C(2018)State of the Art on Monocular 3D Face Reconstruction, Tracking, and ApplicationsComputer Graphics Forum10.1111/cgf.1338237:2(523-550)Online publication date: 22-May-2018
https://doi.org/10.1111/cgf.13382
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Published In

SA '10: ACM SIGGRAPH ASIA 2010 Sketches

December 2010

98 pages

ISBN:9781450305235

DOI:10.1145/1899950

Conference Chairs:
Marie-Paule Cani
Grenoble Universités & INRIA
,
Alla Sheffer
The University of British Columbia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 15 December 2010

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December 15 - 18, 2010

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Vilchis CPerez-Guerrero CMendez-Ruiz MGonzalez-Mendoza M(2023)A survey on the pipeline evolution of facial capture and tracking for digital humansMultimedia Systems10.1007/s00530-023-01081-229:4(1917-1940)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1007/s00530-023-01081-2
Somepalli MCharan MShruthi SPalaniswamy S(2021)Implementation of Single Camera Markerless Facial Motion Capture using Blendshapes2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)10.1109/CSITSS54238.2021.9683460(1-6)Online publication date: 16-Dec-2021
https://doi.org/10.1109/CSITSS54238.2021.9683460
Zollhöfer MThies JGarrido PBradley DBeeler TPérez PStamminger MNießner MTheobalt C(2018)State of the Art on Monocular 3D Face Reconstruction, Tracking, and ApplicationsComputer Graphics Forum10.1111/cgf.1338237:2(523-550)Online publication date: 22-May-2018
https://doi.org/10.1111/cgf.13382
Mancewicz JDerksen MRijpkema HWilson CEpps DPeterson PZafar NGritz L(2014)Delta MushProceedings of the Fourth Symposium on Digital Production10.1145/2633374.2633376(7-11)Online publication date: 9-Aug-2014
https://dl.acm.org/doi/10.1145/2633374.2633376
Miranda JAlvarez XOrvalho JGutierrez DAugusto Sousa AOrvalho V(2012)Sketch express: A sketching interface for facial animationComputers & Graphics10.1016/j.cag.2012.03.00236:6(585-595)Online publication date: Oct-2012
https://doi.org/10.1016/j.cag.2012.03.002
Miranda JAlvarez XOrvalho JGutierrez DSousa AOrvalho VDo ELeon JHammond TNealen A(2011)Sketch expressProceedings of the Eighth Eurographics Symposium on Sketch-Based Interfaces and Modeling10.1145/2021164.2021180(87-94)Online publication date: 5-Aug-2011
https://dl.acm.org/doi/10.1145/2021164.2021180

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Example-based facial rigging

Realtime performance-based facial animation

Optimizing UI layouts for deformable face-rig manipulation

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