University of Cambridge > Talks.cam > Microsoft Research Machine Learning and Perception Seminars > From motion capture of interacting hands to video based rendering.

From motion capture of interacting hands to video based rendering.

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

The talk will be structured in two parts. I will first talk about my research on marker-less motion capture, in particular presenting my recent ECCV work on hands tracking. Capturing the motion of hands interacting with each other and with an object is a challenging task due to the large number of degrees of freedom, self-occlusions, and similarity between the fingers. I will show how we addressed this problem by proposing a generative approach modeling all the elements of the scene as a unique articulated deformable object, and exploiting some discriminatively learnt features. In the second part, I will talk about my research on interactive free-viewpoint video. I will show how it is possible to navigate a collection of videos representing an event casually captured by people in the audience. Instead of recovering a perfect 3D representation of the recorded scene, which in general is very challenging, I will propose several simplifying assumptions allowing video based rendering in such a scenario. I will also show a live real-time demo of the proposed interactive navigation tool on different video collections. URLs: http://cvg.ethz.ch/research/ih-mocap/ http://cvg.ethz.ch/research/unstructured-vbr/ http://www.inf.ethz.ch/personal/lballan/

This talk is part of the Microsoft Research Machine Learning and Perception Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity