21 search results - page 1 / 5 » Globally Optimal Solutions for Energy Minimization in Stereo... |
ICCV
2005
IEEE
14 years 6 months ago
2005
IEEE
A wide range of low level vision problems have been formulated in terms of finding the most probable assignment of a Markov Random Field (or equivalently the lowest energy configu...
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 ...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
CVPR
2005
IEEE
13 years 10 months ago
2005
IEEE
In this paper, we propose a symmetric stereo model to handle occlusion in dense two-frame stereo. Our occlusion reasoning is directly based on the visibility constraint that is mo...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...