37 search results - page 2 / 8 » A New Framework for Approximate Labeling via Graph Cuts |
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
EMMCVPR
1999
Springer
13 years 12 months ago
1999
Springer
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. These tasks can be formulated as energy minimization problems. In this paper, we conside...
IPMI
2007
Springer
14 years 8 months ago
2007
Springer
Abstract. We describe a new approach for estimating the posterior probability of tissue labels. Conventional likelihood models are combined with a curve length prior on boundaries,...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
We propose a novel patch-based image representation that is useful because it (1) inherently detects regions with repetitive structure at multiple scales and (2) yields a paramete...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We consider pixel labeling problems where the label set
forms a tree, and where the observations are also labels.
Such problems arise in feature-space analysis with a very
large...