180 search results - page 2 / 36 » Optical Flow Estimation Using Learned Sparse Model |
PAMI
2002
13 years 5 months ago
2002
We present a method for estimating the shape of a deformable model using the least-squares residuals from a model-based optical flow computation. This method is built on top of an...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
ECCV
2008
Springer
14 years 7 months ago
2008
Springer
Abstract. We present a technique for learning the parameters of a continuousstate Markov random field (MRF) model of optical flow, by minimizing the training loss for a set of grou...
SCVMA
2004
Springer
13 years 10 months ago
2004
Springer
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
ICIP
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper proposes an hybrid approach to estimate the 3D pose of an object. The integration of texture information based on image intensities in a more classical non-linear edge-...