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Expression cloning

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Published:01 August 2001Publication History

ABSTRACT

We present a novel approach to producing facial expression animations for new models. Instead of creating new facial animations from scratch for each new model created, we take advantage of existing animation data in the form of vertex motion vectors. Our method allows animations created by any tools or methods to be easily retargeted to new models. We call this process expression cloning and it provides a new alternative for creating facial animations for character models. Expression cloning makes it meaningful to compile a high-quality facial animation library since this data can be reused for new models. Our method transfers vertex motion vectors from a source face model to a target model having different geometric proportions and mesh structure (vertex number and connectivity). With the aid of an automated heuristic correspondence search, expression cloning typically requires a user to select fewer than ten points in the model. Cloned expression animations preserve the relative motions, dynamics, and character of the original facial animations.

References

  1. 1.S. Basu, N. Oliver, A. Pentland, 3D Modeling and Tracking of Human Lip Motions, ICCV, 1998, 337-343 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.A. Bruderlin, L. Williams, Motion Signal Processing, SIGGRAPH 95 Proceedings, 1995, 97-104 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.M. Cohen, D. Massaro, Modeling Co-articulation in Synthetic Visual Speech. In N. Magnenat-Thalmann, and D. Thalmann Editors, Model and Technique in Computer Animation, 1993, 139-156, Springer-Verlag, TokyoGoogle ScholarGoogle Scholar
  4. 4.M. Eck, T. DeRose, T. Duchamp, Multiresolution Analysis of Arbitrary Meshes, SIGGRAPH 95 Proceedings, 1995, 173-182 Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5.M. Eck, Interpolation Methods for Reconstruction of 3D Surfaces from Sequences of Planar Slices, CAD und Computergraphik, Vol. 13, No. 5, Feb. 1991, 109 - 120Google ScholarGoogle Scholar
  6. 6.R. Enciso, J. Li, D. Fidaleo, T-Y. Kim, J-Y.Noh, U. Neumann, Synthesis of 3D Faces, International Workshop on Digital and Computational Video, 2000Google ScholarGoogle Scholar
  7. 7.M. Escher, I. Pandzic, N. Thalmann, Facial Deformations for MPEG-4, IEEE Computer Animation, 1998, 56 - 62 Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. 8.D. Fidaleo, J-Y. Noh, T. Kim, R. Enciso, U.Neumann, Classification and Volume Morphing for Performance- Driven Facial Animation, International Workshop on Digital and Computational Video, 2000Google ScholarGoogle Scholar
  9. 9.M. Gleicher, Retargetting Motion to New Characters, SIGGRAPH 98 Proceedings, 1998, 33 - 42 Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 10.G.H. Golub, M. Heath, G. Wahba. Generalized Crossvalidation as a Method for Choosing a Good Ridge Parameter. Technometrics, 21(2):215-223, 1979Google ScholarGoogle Scholar
  11. 11.B. Guenter, C. Grimm, D. Wood, H. Malvar, F. Pighin, Making Faces, SIGGRAPH 98 Proceedings, 1998, 55 - 66 Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. 12.P. Kalra, A. Mangili, N. M. Thalmann, D. Thalmann, Simulation of Facial Muscle Actions Based on Rational Free From Deformations, Eurographics 1992, vol. 11(3) 59-69Google ScholarGoogle Scholar
  13. 13.T. Kanai, H. Suzuki, F. Kimura, Metamorphosis of Arbitrary Triangular Meshes, Computer Graphics and Applications, March 2000, 62-75 Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. 14.J.R. Kent, W.E. Carlson, R.E. Parent, Shape Transformation for Polyhedral Objects, SIGGRAPH 92 Proceedings, 1992, 47-54 Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. 15.A.W. F. Lee, D. Dobkin, W. Sweldens, P. Schroder, Multiresolution Mesh Morphing, SIGGRAPH 99 Proceedings, 1999, 343-350 Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. 16.Y.C. Lee, D. Terzopoulos, K. Waters, Realistic Face Modeling for Animation. SIGGRAPH 95 Proceedings, 1995, 55-62 Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. 17.J.P. Lewis, M. Cordner, N. Fong, Pose Space Deformation: A Unified Approach to Shape Interpolation and Skeleton- Drive Deformation, SIGGRAPH 00 Proceedings, 2000, 165- 172 Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. 18.T. Maurer, C. Malsburg, "Tracking and Learning Graphs and Pose in Image Sequences of Faces", ICAFGR 1996, 242-247 Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. 19.J.E. Moody, The Effective Number of Parameters: An Analysis of Generalization and Regularization in Nonlinear Learning Systems, Neural Information Processing Systems 4, 847-854, Morgan Kaufmann, California, 1992Google ScholarGoogle Scholar
  20. 20.M. J. L. Orr, Optimizing the Widths of RBFs, Fifth Brazilian Symposium on Neural Networks, Brazil, 1998Google ScholarGoogle Scholar
  21. 21.J. Ostermann, Animation of Synthetic Faces in MPEG-4, IEEE Computer Animation, 1998, 49 - 55 Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. 22.F.I. Parke, Parameterized Models for Facial Animation. IEEE Computer Graphics and Applications, 1982, vol. 2(9) 61 - 68Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. 23.F. Pighin, J. Hecker, D. Lischinski, R. Szeliski, D.H. Salesin, Synthesizing Realistic Facial Expressions from Photographs, SIGGRAPH 98 Proceedings, 1998, 75-84 Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. 24.S. Platt, N. Badler, Animating facial expression. Computer Graphics, 1981, vol. 15(3), 245-252 Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. 25.W. Pratt, Digital Image Processing, Second Edition, A Wiley-Interscience Publication, ISBN 0-471-85766-1, 1991 Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. 26.F. Preparata, M. Shamos, Computational Geometry-An Introduction. Springer-Verlag, New York, 1985 Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. 27.Y. Shinagawa, T.L. Kunii, Unconstrained Automatic Image Matching Using Multiresolution Critical-Point Filters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 9, 1998, 994 - 1010 Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. 28.M. Stone, Toward a Model of Three-Dimensional Tongue Movement. Journal of Phonetics, 1991, Vol. 19, 309-320Google ScholarGoogle Scholar
  29. 29.F. Ulgen, A Step Toward Universal Facial Animation via Volume Morphing, 6 th IEEE International Workshop on Robot and Human communication, 1997, 358-363Google ScholarGoogle Scholar
  30. 30.K. Waters, J. Frisbie, A Coordinated Muscle Model for Speech Animation, Graphics Interface, 1995, 163 - 170Google ScholarGoogle Scholar
  31. 31.K. Waters. A Muscle Model for Animating Three- Dimensional Facial Expression. In Maureen C. Stone, editor, Computer Graphics, SIGGRAPH 87 Proceedings, 1987, vol. 21, 17-24 Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. 32.L. Williams, Performance Driven Facial Animation, SIGGRAPH 90 Proceedings, 1990, 235 - 242 Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Expression cloning

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                • Published in

                  cover image ACM Conferences
                  SIGGRAPH '01: Proceedings of the 28th annual conference on Computer graphics and interactive techniques
                  August 2001
                  600 pages
                  ISBN:158113374X
                  DOI:10.1145/383259

                  Copyright © 2001 ACM

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                  Publication History

                  • Published: 1 August 2001

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                  SIGGRAPH '01 Paper Acceptance Rate65of300submissions,22%Overall Acceptance Rate1,822of8,601submissions,21%

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