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4D Parametric Motion Graph for Interactive Animation




Dan Casas, Margara Tejera, Jean-Yves Guillemaut and Adrian Hilton.
4D Parametric Motion Graphs for Interactive Animation
Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games 2012 (I3D'12).
Honorable Mention for the Best Paper Award
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Abstract

A 4D parametric motion graph representation is presented for interactive animation from actor performance capture in a multiple camera studio. The representation is based on a 4D model database of temporally aligned mesh sequence reconstructions for multiple motions. High-level movement controls such as speed and direction are achieved by blending multiple mesh sequences of related motions. A real-time mesh sequence blending approach is introduced which combines the realistic deformation of previous non-linear solutions with efficient online computation. Transitions between different parametric motion spaces are evaluated in real-time based on surface shape and motion similarity. 4D parametric motion graphs allow real-time interactive character animation while preserving the natural dynamics of the captured performance.


Bibtex

@inproceedings{casasI3D2012,
author = {Casas, Dan and Tejera, Margara and Guillemaut, Jean-Yves and Hilton, Adrian},
title = {4D parametric motion graphs for interactive animation},
booktitle = {Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games},
series = {I3D '12},
year = {2012},
isbn = {978-1-4503-1194-6},
location = {Costa Mesa, California},
pages = {103--110},
url = {http://doi.acm.org/10.1145/2159616.2159633},
doi = {10.1145/2159616.2159633}, }