Learning physics-based motion style with nonlinear inverse optimization
- 1 July 2005
- journal article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Graphics
- Vol. 24 (3), 1071-1081
- https://doi.org/10.1145/1073204.1073314
Abstract
No abstract availableThis publication has 40 references indexed in Scilit:
- Style-based inverse kinematicsACM Transactions on Graphics, 2004
- Automated extraction and parameterization of motions in large data setsACM Transactions on Graphics, 2004
- Efficient synthesis of physically valid human motionACM Transactions on Graphics, 2003
- Motion synthesis from annotationsACM Transactions on Graphics, 2003
- Interactive control of avatars animated with human motion dataACM Transactions on Graphics, 2002
- Motion textureACM Transactions on Graphics, 2002
- Synthesis of complex dynamic character motion from simple animationsACM Transactions on Graphics, 2002
- Verbs and adverbs: multidimensional motion interpolationIEEE Computer Graphics and Applications, 1998
- Practical Parameterization of Rotations Using the Exponential MapJournal of Graphics Tools, 1998
- Adjustments to Zatsiorsky-Seluyanov's segment inertia parametersJournal of Biomechanics, 1996