49 search results - page 1 / 10 » A Comparative Study of Energy Minimization Methods for Marko... |
99
Voted
ECCV
2006
Springer
16 years 4 days 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...
90
Voted
PAMI
2008
14 years 10 months ago
2008
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....
109
Voted
ICASSP
2007
IEEE
15 years 4 months ago
2007
IEEE
This paper introduces a novel energy minimization method, namely iterated cross entropy with partition strategy (ICEPS), into the Markov random field theory. The solver, which is...
123
Voted
CVPR
2009
IEEE
15 years 8 months ago
2009
IEEE
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
93
Voted
MIA
2010
14 years 5 months ago
2010
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...