Physics-Based Human Motion Models for Animation and Tracking

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

• Aaron Hertzmann, University of Toronto
• Tuesday 11 September 2007, 15:00-16:00
• Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

If you have a question about this talk, please contact Oliver Williams.

describe physics-based models of human motion, with applications to computer animation and 3D person tracking. I begin by surveying relevant principles of motion from the biomechanics literature. I then describe a representation of motion that incorporates passive dynamical elements, relative muscle preferences, and optimality principles. I then describe Nonlinear Inverse Optimization, a novel learning algorithm that can be used to learn these physical models of motion from data. Once learned, these models can then be synthesize new animation. I then describe a tracking algorithm for on-line estimation of 3D human motion from video sequences that makes use of a physics-based prior model of motion.

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

This talk is included in these lists:

• All Talks (aka the CURE list)
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Guy Emerson's list
• Interested Talks
• ML
• Machine Learning Summary
• Microsoft Research Cambridge, public talks
• Microsoft Research Machine Learning and Perception Seminars
• Optics for the Cloud
• PMRFPS's
• School of Technology
• Small public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• personal list
• rp587
• yk373's list

Note that ex-directory lists are not shown.