1. Machine Learning for Graphics and Vision Aaron Hertzmann University of Toronto Aaron Hertzmann University of Toronto

2. Learning for graphics and vision Graphics and vision require good models Good models are very hard to design Can we learn models from data? Graphics and vision require good models Good models are very hard to design Can we learn models from data?

3. Human motion modeling ?

4. Motion capture data Joint work with C. Karen Liu (UCLA), Zoran Popovic (UW)

5. Reconstructing the data

6. Are passive elements necessary?

7. Synthesis result

8. Ground truth comparison

9. Subject #2 data

10. Synthesis result

11. 3D Reconstruction with: Lorenzo Torresani (Riya), Chris Bregler (NYU)

12. Future research Detailed models of shape and motion Novel machine learning tools Applications to graphics and vision Detailed models of shape and motion Novel machine learning tools Applications to graphics and vision

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