417 search results - page 18 / 84 » Supervised Image Segmentation Using Markov Random Fields |
IDA
2009
Springer
15 years 6 months ago
2009
Springer
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
IJCV
2007
14 years 11 months ago
2007
In this paper, we propose a stereo method specifically designed for image-based rendering. For effective image-based rendering, the interpolated views need only be visually plaus...
107
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MIA
2010
14 years 6 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 ...
123
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ICASSP
2007
IEEE
15 years 6 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...
107
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CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Interactive image segmentation traditionally involves the
use of algorithms such as Graph Cuts or Random Walker.
Common concerns with using Graph Cuts are metrication
artifacts ...