Nonlinear Body Pose Estimation from Depth Images
Daniel Grest, Jan Woetzel, Reinhard Koch
"Nonlinear Body Pose Estimation from Depth Images",
DAGM 2005, Vienna, Austria, 2005 (to appear)
Abstract
This paper focuses on real-time markerless motion capture. The body pose of a person is
estimated from depth images using an Iterative Closest Point algorithm. We present a
very efficient approach, that estimates up to 28 degrees of freedom from 1000 data points
with 4Hz. This is achieved by nonlinear optimization techniques using an analytically
derived Jacobian and highly optimized correspondence search.
Jan Woetzel (jw@mip.informatik.uni-kiel.de)