“Multilinear Models for Face Synthesis” by Vlasic∗, Brand, Pfister and Popović
Conference:
Type:
Title:
- Multilinear Models for Face Synthesis
Presenter(s)/Author(s):
Abstract:
Multilinear models offer a natural way of modeling heterogenous sources of variation. We are specifically interested in facial geometry variations due to identity and expression changes. In this setting, the multilinear model is able to capture idiosyncrasies such as style of smiling, i.e. the smile depends on the identity parameters.
References:
Blanz, V., and Vetter, T. 1999. A morphable model for the synthesis of 3d faces. In Proceedings of SIGGRAPH 99, Computer Graphics Proceedings, Annual Conference Series, 187–194.
Brand, M., and Bhotika, R. 2001. Flexible flow for 3d nonrigid tracking and shape recovery. In 2001 Conference on Computer Vision and Pattern Recognition (CVPR 2001), vol. 1, 315–324.
De Lathauwer, L., De Moor, B., and Vandewalle, J. 2000. A multilinear singular value decomposition. Siam Journal on Matrix Analysis and Applications 21, 1253–1278.
