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» Dense 3D motion capture from synchronized video streams
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AMFG
2003
IEEE
157views Biometrics» more  AMFG 2003»
14 years 26 days ago
Inference of Human Postures by Classification of 3D Human Body Shape
In this paper we describe an approach for inferring the body posture using a 3D visual-hull constructed from a set of silhouettes. We introduce an appearance-based, view-independe...
Isaac Cohen, Hongxia Li
ACCV
2009
Springer
14 years 2 months ago
Dense and Accurate Spatio-temporal Multi-view Stereovision
In this paper, we propose a novel method to simultaneously and accurately estimate the 3D shape and 3D motion of a dynamic scene from multiple-viewpoint calibrated videos. We follo...
Jérôme Courchay, Jean-Philippe Pons, ...
3DPVT
2004
IEEE
151views Visualization» more  3DPVT 2004»
13 years 11 months ago
Spacetime-Coherent Geometry Reconstruction from Multiple Video Streams
By reconstructing time-varying geometry one frame at a time, one ignores the continuity of natural motion, wasting useful information about the underlying video-image formation pr...
Marcus A. Magnor, Bastian Goldlücke
CVPR
2007
IEEE
14 years 9 months ago
Marker-less Deformable Mesh Tracking for Human Shape and Motion Capture
We present a novel algorithm to jointly capture the motion and the dynamic shape of humans from multiple video streams without using optical markers. Instead of relying on kinemat...
Edilson de Aguiar, Christian Theobalt, Carsten Sto...
CVPR
2008
IEEE
14 years 9 months ago
Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry
This paper describes a new passive approach to capture time-varying scene geometry in large acquisition volumes from multi-view video. It can be applied to reconstruct complete mo...
Naveed Ahmed, Christian Theobalt, Petar Dobrev, Ha...