“Surface motion graphs for character animation from 3D video”
Conference:
Type(s):
Title:
- Surface motion graphs for character animation from 3D video
Session/Category Title: Character Animation and Rigging
Presenter(s)/Author(s):
Abstract:
Multiple view reconstruction of human performance as a 3D video has advanced to the stage of capturing detailed non-rigid dynamic surface shape and appearance of the body, clothing and hair during motion [Aguiar et al. 2008; Starck and Hilton 2007]. Full 3D video scene capture holds the potential to create truly realistic synthetic animated content by reproducing the dynamics of shape and appearance currently missing from marker-based motion capture. However, the acquisition results are in an unstructured volumetric or mesh approximation of the surface shape at each frame without temporal correspondence, which makes the reuse of this kind of data more challenging than conventional mocap data. In this paper, we introduce a framework that automatically constructs motion graphs for 3D video sequences and synthesizes novel animations to best satisfy user specified constraints on movement, location and timing.
References:
1. Aguiar, E., Stoll, C., Theobalt, C., Ahmed, N., Seidel, H.-P., and Thrun, S. 2008. Performance capture from sparse multi-view video. ACM Trans. Graph. 27, 3, 1–10.
2. Huang, P., Starck, J., and Hilton, A. 2007. A study of shape similarity for temporal surface sequences of people. In 3DIM ’07: Proceedings of the Sixth International Conference on 3-D Digital Imaging and Modeling, IEEE Computer Society, Washington, DC, USA, 408–418.
3. Kovar, L., Gleicher, M., and Pighin, F. 2002. Motion graphs. In SIGGRAPH ’02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques, ACM Press, New York, NY, USA, vol. 21, 473–482.
4. Starck, J., and Hilton, A. 2007. Surface capture for performance-based animation. IEEE Computer Graphics and Applications 27, 3, 21–31.
5. Vlasic, D., Baran, I., Matusik, W., and Popović, J. 2008. Articulated mesh animation from multi-view silhouettes. ACM Trans. Graph. 27, 3, 1–9.
