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» A shape hierarchy for 3D modelling from video
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ICVGIP
2004
15 years 7 months ago
The Space of Human Shapes
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the ...
Brian Curless
FGR
2008
IEEE
117views Biometrics» more  FGR 2008»
16 years 23 days ago
Complex human motion estimation using visibility
This paper presents a novel algorithm for estimating complex human motion from 3D video. We base our algorithm on a model-based approach which uses a complete surface mesh of a 3D...
Tomoyuki Mukasa, Arata Miyamoto, Shohei Nobuhara, ...
CGF
2008
340views more  CGF 2008»
15 years 6 months ago
Articulated Object Reconstruction and Markerless Motion Capture from Depth Video
We present an algorithm for acquiring the 3D surface geometry and motion of a dynamic piecewise-rigid object using a single depth video camera. The algorithm identifies and tracks...
Yuri Pekelny, Craig Gotsman
CA
1996
IEEE
15 years 10 months ago
Modeling, Tracking and Interactive Animation of Faces and Heads Using Input from Video
We describe tools that use measurements from video for the extraction of facial modeling and animation parameters, head tracking, and real-time interactive facial animation. These...
Irfan A. Essa, Sumit Basu, Trevor Darrell, Alex Pe...

Publication
350views
16 years 6 months ago
Probabilistic Parameter Selection for Learning Scene Structure from Video
We present an online learning approach for robustly combining unreliable observations from a pedestrian detector to estimate the rough 3D scene geometry from video sequences of a...
Michael D. Breitenstein, Eric Sommerlade, Bastian ...