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ICPR
2004
IEEE
16 years 24 days ago
Maximizing Validity in 2D Motion Analysis
Classifying and analyzing human motion from a video is relatively common in many areas. Since the motion is carried out in 3D space, the 2D projection provided by a video is somew...
Martin Eriksson, Stefan Carlsson
SIGGRAPH
2010
ACM
15 years 4 months ago
VideoMocap: modeling physically realistic human motion from monocular video sequences
This paper presents a video-based motion modeling technique for generating physically realistic human motion from monocular video sequences. We formulate the video-based motion mo...
Xiaolin Wei, Jinxiang Chai
NIPS
2003
15 years 1 months ago
Learning Non-Rigid 3D Shape from 2D Motion
This paper presents an algorithm for learning the time-varying shape of a non-rigid 3D object from uncalibrated 2D tracking data. We model shape motion as a rigid component (rotat...
Lorenzo Torresani, Aaron Hertzmann, Christoph Breg...
ECCV
2004
Springer
16 years 1 months ago
Hand Motion from 3D Point Trajectories and a Smooth Surface Model
A method is proposed to track the full hand motion from 3D points reconstructed using a stereoscopic set of cameras. This approach combines the advantages of methods that use 2D mo...
Guillaume Dewaele, Frederic Devernay, Radu Horaud
SPEECH
1998
215views more  SPEECH 1998»
14 years 11 months ago
3D lip shapes from video: A combined physical-statistical model
Tracking human lips in video is an important but notoriously dicult task. To accurately recover their motions in 3D from any head pose is an even more challenging task, though s...
Sumit Basu, Nuria Oliver, Alex Pentland