17 search results - page 3 / 4 » Efficiently Learning Random Fields for Stereo Vision with Sp... |
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a novel MRF-based model for deformable image matching (also known as registration). The deformation is described by a field of discrete variables, representing displace...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
This paper presents a complete solution to estimating a scene’s 3D geometry and appearance from multiple 2D images by using a statistical inverse ray tracing method. Instead of ...
ECCV
2008
Springer
14 years 3 months ago
2008
Springer
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
CVPR
2009
IEEE
15 years 22 days ago
2009
IEEE
Many problems in computer vision can be modeled using
conditional Markov random fields (CRF). Since finding
the maximum a posteriori (MAP) solution in such models
is NP-hard, mu...