20 search results - page 2 / 4 » Stochastic Image Segmentation by Typical Cuts |
ICIP
2005
IEEE
13 years 10 months ago
2005
IEEE
Fundamental to any graph cut segmentation methods is the assignment of edge weights. The existing solutions typically use gaussian, exponential or rectangular cost functions with ...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Interactive segmentation is useful for selecting objects of interest in images and continues to be a topic of much study. Methods that grow regions from foreground/background seed...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
In few years, graph cuts have become a leading method for solving a wide range of problems in computer vision. However, graph cuts involve the construction of huge graphs which so...
ICIP
2008
IEEE
14 years 6 months ago
2008
IEEE
In many neurophysiological studies, understanding the neuronal circuitry of the brain requires detailed 3D models of the nerve cells and their synapses. Typically, researchers bui...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...