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» Learning to track 3D human motion from silhouettes
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SCIA
2007
Springer
108views Image Analysis» more  SCIA 2007»
14 years 1 months ago
Single View Motion Tracking by Depth and Silhouette Information
In this work1 a combination of depth and silhouette information is presented to track the motion of a human from a single view. Depth data is acquired from a Photonic Mixer Device ...
Daniel Grest, Volker Krüger, Reinhard Koch
CVPR
2011
IEEE
13 years 2 months ago
Intrinsic Dense 3D Surface Tracking
This paper presents a novel intrinsic 3D surface distance and its use in a complete probabilistic tracking framework for dynamic 3D data. Registering two frames of a deforming 3D ...
Yun Zeng, Chaohui Wang, Yang Wang, David Gu, Dimit...
AUSAI
2006
Springer
13 years 9 months ago
3D Morphable Model Parameter Estimation
Estimating the structure of the human face is a long studied and difficult task. In this paper we present a new method for estimating facial structure from only a minimal number o...
Nathan Faggian, Andrew P. Paplinski, Jamie Sherrah
CVPR
2005
IEEE
14 years 9 months ago
Implicit Surfaces Make for Better Silhouettes
This paper advocates an implicit-surface representation of generic 3?D surfaces to take advantage of occluding edges in a very robust way. This lets us exploit silhouette constrai...
Slobodan Ilic, Mathieu Salzmann, Pascal Fua
CVPR
2007
IEEE
14 years 9 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic