Learnt inverse kinematics for animation synthesis

Graphical Models

Volumn 68, Issue 5-6, 2006, Pages 472-483

  Ong, Eng Jon ^a   Hilton, Adrian ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

Animation synthesis; Hierarchical clustering; Learnt inverse kinematics

Indexed keywords

ANIMATION; COMPUTER SIMULATION; CONSTRAINT THEORY; IMAGE PROCESSING; MATHEMATICAL MODELS; PROBLEM SOLVING;

ANIMATION SYNTHESIS; HIERARCHICAL CLUSTERING; LEARNT INVERSE KINEMATICS;

INVERSE KINEMATICS;

CLUSTER ANALYSIS; KINEMATICS; LEARNING;

CANIS FAMILIARIS;

EID: 33750490114     PISSN: 15240703     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gmod.2006.07.004     Document Type: Article

References (17)

1. A. Lamouret, M. van de Panne, Motion synthesis by example, in: Computer Animation and Simulation '96, 1996, pp. 199-212.
2. L. Molina-Tanco, A. Hilton, Realistic synthesis of novel human movements from a database of motion-capture examples, in: Workshop on Human Motion (HUMO'00), 2000, pp. 137-142.
3. J. Lee, J. Chai, P.S.A. Reitsma, J.K. Hodgins, N.S. Pollard, Interactive control of avatars animated with human motion data, in: Proceedings of ACM SIGGRAPH 2002, 2002, pp. 491-500.
4. L. Kovar, M. Gleicher, F. Pighin, Motion graphs, in: Proceedings of ACM SIGGRAPH 2002, 2002, pp. 473-482.
5. O. Arikan, D. Forsyth, Interactive motion generation from examples, in: Proceedings of ACM SIGGRAPH 2002, 2002, pp. 483-490.
6. C. Rose, P. Sloan, M. Cohen, Artist-directed inverse-kinematics using radial basis function interpolation, in: Proceedings of EUROGRAPHICS 2001, 2001.
7. Ong E., and Gong S. The dynamics of linear combinations. Image and Vision Computing 20 5-6 (2002) 397-414
8. R. Bowden, Learning statistical models of human motion, in: IEEE Workshop on Human Modelling, Analysis and Synthesis, CVPR2000, 2000.
9. Herda L., Urtasun R., and Fua P. Hierarchical implicit surface joint limits for human body tracking. Computer Vision and Image Understanding 99 2 (2005) 189-209
10. K. Grochow, S. Martin, A. Hertzmann, Z. Popovic, Style-based inverse kinematics, in: Proceedings of SIGGRAPH, 2004.
11. Galata A., Johnson N., and Hogg D. Learning variable length Markov models of behaviour. Computer Vision and Image Understanding Journal 81 3 (2001) 398-413
12. I. Karalouva, P. Hall, A. Marshall, A hierarchical model of dynamics for tracking people with a single video camera, in: Proceedings of British Machine Vision Conference 2000, 2000.
13. M. Brand, A. Hertzmann, Style machinese, in: Proceedings of ACM SIGGRAPH 2000, 2000, pp. 183-192.
14. Urtasun R., Glardon P., Boulic R., Thalmann D., and Fua P. Style-based motion synthesis. Computer Graphics Forum 23 4 (2004) 1-14
15. Grassia F. Practical parameterization of rotations using the exponential map. The Journal of Graphics Tools 3 3 (1998) 29-48
16. Bishop C. Neural Networks for Pattern Recognition (1995), Clarendon Press, Oxford
17. Jain A., and Dubes R. Algorithms for Clustering Data (1988), Prentice Hall, Englewood Cliffs, NJ