Resources

Slides:

1. Introduction
2. Body modelling basics, triangle based models, registration & co-registration (click here for a KEYNOTE version)
3. Vertex based models
4. Modelling appearance
5. Advanced topics: MoSh
6. Advanced topics: Kinect Fitting
7. Advanced topics: Dyna and DMPL
8. Conclusions
9. Code instructions

3D body model & Code:

Participants will leave the tutorial with a state-of-the-art body model that can be used for animation and computer vision. The SMPL body model, documentation, and code is available here

http://smpl.is.tue.mpg.de/

We are continuing to add new material. Coming soon: Python code and examples of using SMPL for vision problems.

Participants who want to use the body model directly at the workshop and get hands-on help, should make sure that their laptop has all the needed material. The code is in Python. The most up-to-date information is on the SMPL page above.

System Requirements:

Operating system: OSX, Linux

Python Dependencies:

• Numpy & Scipy http://www.scipy.org/scipylib/download.html
• OpenDR https://github.com/mattloper/opendr
• Chumpy https://github.com/mattloper/chumpy
• OpenCV http://opencv.org/downloads.html

Additional resources :

• http://faust.is.tue.mpg.de/
• http://stitch.is.tue.mpg.de/
• http://mosh.is.tue.mpg.de/
• http://dyna.is.tue.mpg.de/