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Issue No.05 - September-October (1998 vol.18)
pp: 32-40
ABSTRACT
This article describes methods and data structures used to leverage motion sequences of complex linked figures. We present a technique for interpolating between example motions derived from live motion capture or produced through traditional animation tools. These motions can be characterized by emotional expressiveness or control behaviors such as turning or going uphill. We call such parameterized motions "verbs" and the parameters that control them "adverbs." Verbs can be combined with other verbs to form a "verb graph," with smooth transitions between them, allowing an animated figure to exhibit a substantial repertoire of expressive behaviors. A combination of radial basis functions and low-order polynomials creates the interpolation space between example motions. Inverse kinematic constraints augment the interpolations in order to avoid, for example, the feet slipping on the floor during a support phase of a walk cycle.
CITATION
Michael F. Cohen, Charles Rose, "Verbs and Adverbs: Multidimensional Motion Interpolation", IEEE Computer Graphics and Applications, vol.18, no. 5, pp. 32-40, September-October 1998, doi:10.1109/38.708559
REFERENCES
1. M. Unuma, K. Anjyo, and R. Takeuchi, “Fourier Principles for Emotion-Based Human Figure Animation,” Computer Graphics (Proc. SIGGRAPH '95), vol. 29, pp. 91-96, Aug. 1995.
2. K. Amaya, A. Bruderlin, and T. Calvert, "Emotion from Motion," Graphics Interface 96, W.A. Davis and R. Bartels, eds., Morgan Kaufmann, San Francisco, May 1996, pp. 222-229.
3. A. Bruderlin and L. Williams, Motion Signal Processing Proc. SIGGRAPH '95, pp. 97-104, Aug. 1995.
4. A. Witkin and Z. Popovic, "Motion Warping," Computer Graphics (Proc. Siggraph 95), Vol. 29, No. 4, Aug. 1995, pp. 105-108.
5. K. Perlin, Real Time Responsive Animation with Personality IEEE Trans. Visualization and Computer Graphics, vol. 1, no. 1, pp. 5-15, Mar. 1995.
6. D.J. Wiley and J.K. Hahn, "Interpolation Synthesis for Articulated Figure Motion," Proc. Virtual Reality Annual Int'l Symp., IEEE CS Press, Mar. 1997, pp. 157-160.
7. S. Guo and J. Roberge, A High-Level control Mechanism for Human Locomotion Based on Parametric Frame Space Interpolation Proc. Eurographics Computer Animation and Simulation (EGCAS '96), pp. 95-107, 1996.
8. J.K. Hodgins and N.S. Pollard, “Adapting Simulated Behaviors for New Characters,” Proc. SIGGRAPH '97, pp. 153-162, 1997.
9. K. Perlin and A. Goldberg, "Improv: A System for Scripting Interactive Actors in Virtual Worlds," Proc. Siggraph 96, ACM Press, New York, 1996, pp. 205-216.
10. B. Blumberg and T. Galyean, “Multi-Level Direction of Autonomous Creatures for Real-Time Virtual Environments,” SIGGRAPH—Computer Graphics Proc., pp. 47-54, 1995.
11. B. Bodenheimer et al., "The Process of Motion Capture: Dealing with the Data," Computer Animation and Simulation 97, Eurographics Animation Workshop, D. Thalmann and M. van de Panne, eds., Springer, New York, Sept. 1997, pp. 3-18.
12. R.H. Bartels, J.C. Beatty, and B.A. Barsky, An Introduction to Splines for Use in Computer Graphics and Geometric Modeling, Morgan Kaufmann, Los Altos, Calif., 1987.
13. M. Girard and A.A. Maciejewski,“Computational modeling for the computer animation of legged figures,” Computer Graphics (SIGGRAPH’85 Proceedings), vol. 20, no. 3, pp. 263-270, 1985.
14. A. Watt and M. Watt, Advanced Animation and Rendering Techniques. Reading, Mass.: ACM Press and Addison-Wesley, pp. 119-124, 1992.
15. C.A. Micchelli, "Interpolation of Scattered Data: Distance Matrices and Conditionally Positive Definite Functions," Constructive Approximation 2, 1986.
16. M.J.D. Powell, "Radial Basis Functions for Multivariable Interpolation: A Review," Algorithms for Approximation, J.C. Mason and M.G. Cox, eds., Oxford University Press, Oxford, UK, 1987, pp. 143-167.
17. D. Ruprecht and H. Muller, "Image Warping with Scattered Data Interpolation," IEEE Computer Graphics and Applications, vol. 15, no. 2, Mar. 1995, pp. 37-43.
18. N. Arad et al., “Image Warping by Radial Basis Functions: Application to Facial Expressions,” Computer Vision, Graphics, and Image Processing: Graphical Models and Image Processing, Vol. 56, No. 2, March 1994, pp. 161-172.
19. C. Rose et al., "Efficient Generation of Motion Transitions Using Spacetime Constraints," Proc. Siggraph 96, ACM Press, New York, 1996, pp. 147-154.
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