MoSh: Motion and Shape Capture from Sparse Markers
2015-11-14
The original MoSh dataset is available as well as code for the latest MoSh++ method. Marker-based motion capture (mocap) is widely criticized as producing lifeless animations. MoSh (Motion and Shape capture), automatically extracts detail present in the original mocap maker data. MoSh estimates body shape and pose together using sparse marker data by exploiting a parametric model of the human body. The dataset contains: 1) The original .c3d files with MOCAP marker-data. 2) Estimated 3D shape meshes. 3) 3D scans from a high resolution scanner for comparison. The code is the latest MoSh++ method that estimates SMPL-X bodies (see the AMASS paper for details).
| Author(s): | Matthew Loper, Naureen Mahmood, Michael J. Black, Oana Broscaru |
| Department(s): |
Perceiving Systems |
| Research Projects(s): |
Markers to Avatars |
| Authors: | Matthew Loper, Naureen Mahmood, Michael J. Black, Oana Broscaru |
| Release Date: | 2015-11-14 |
| Copyright: | Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. |
| Repository: | https://github.com/nghorbani/moshpp |
| External Link: | http://mosh.is.tue.mpg.de/ |
