1 / 14

Machine Learning for Graphics and Vision

Explore the latest advancements in machine learning for graphics and vision, including modeling human motion, reconstructing data, and synthesizing realistic results. Discover future research directions and innovative tools for shape and motion modeling.

brone
Download Presentation

Machine Learning for Graphics and Vision

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Machine Learning for Graphics and Vision 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?

  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

  13. © 2006 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

More Related