206 search results - page 21 / 42 » Learning Parameterized Models of Image Motion |
ICIP
2007
IEEE
15 years 3 months ago
2007
IEEE
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...
CVPR
2006
IEEE
15 years 5 months ago
2006
IEEE
This work investigates the use of nonlinear dependencies in natural image sequence statistics to learn higher-order structures in natural videos. We propose a two-layer model that...
116
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ECCV
2004
Springer
16 years 1 months ago
2004
Springer
We present a robust framework for estimating non-rigid 3D shape and motion in video sequences. Given an input video sequence, and a user-specified region to reconstruct, the algori...
119
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NIPS
2001
15 years 1 months ago
2001
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
114
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ICIAR
2009
Springer
14 years 9 months ago
2009
Springer
In this paper an approach to recover the 3D human body pose from static images is proposed. We adopt a discriminative learning technique to directly infer the 3D pose from appearan...