Skinned Multi-Infant Linear Model (SMIL)
2018-09-16
SMIL is a learned 3D model of infant body shape and pose that can be animated and fit to data. It is based on SMPL but the shape space is adapted to capture the body shape of babies.
| Author(s): | Hesse, N. and Pujades, S. and Romero, J. and Black, M. J. and Bodensteiner, C. and Arens, M. and Hofmann, U. G. and Tacke, U. and Hadders-Algra, M. and Weinberger, R. and Müller-Felber, W. and Schroeder, A. S. |
| Department(s): |
Perceiving Systems |
| Publication(s): |
Learning an Infant Body Model from {RGB-D} Data for Accurate Full Body Motion Analysis
|
| Authors: | Hesse, N. and Pujades, S. and Romero, J. and Black, M. J. and Bodensteiner, C. and Arens, M. and Hofmann, U. G. and Tacke, U. and Hadders-Algra, M. and Weinberger, R. and Müller-Felber, W. and Schroeder, A. S. |
| Release Date: | 2018-09-16 |
| External Link: | http://s.fhg.de/smil |
