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Dense 3D Motion Capture from Synchronized Video Streams Yasutaka Furukawa1
 

Summary: Dense 3D Motion Capture from Synchronized Video Streams
Yasutaka Furukawa1
Department of Computer Science
and Beckman Institute
University of Illinois at Urbana-Champaign, USA1
Jean Ponce2,1
Willow Team
LIENS (CNRS/ENS/INRIA UMR 8548)
Ecole Normale Sup´erieure, Paris, France2
Abstract: This paper proposes a novel approach to non-
rigid, markerless motion capture from synchronized video
streams acquired by calibrated cameras. The instantaneous
geometry of the observed scene is represented by a poly-
hedral mesh with fixed topology. The initial mesh is con-
structed in the first frame using the publicly available PMVS
software for multi-view stereo [7]. Its deformation is cap-
tured by tracking its vertices over time, using two optimiza-
tion processes at each frame: a local one using a rigid mo-
tion model in the neighborhood of each vertex, and a global
one using a regularized nonrigid model for the whole mesh.

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle
École Normale Supérieure, Laboratoire d'Informatique, WILLOW Computer vision and machine learning research laboratory

 

Collections: Computer Technologies and Information Sciences; Engineering