210 search results - page 21 / 42 » Conditional Random Fields: Probabilistic Models for Segmenti... |
BMVC
2010
13 years 5 months ago
2010
The problems of dense stereo reconstruction and object class segmentation can both be formulated as Conditional Random Field based labelling problems, in which every pixel in the ...
ECCV
2010
Springer
14 years 26 days ago
2010
Springer
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
JMLR
2010
13 years 2 months ago
2010
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
The Conditional Random Fields (CRF) model, using
patch-based classification bound with context information,
has recently been widely adopted for image segmentation/
labeling. In...
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
We propose a new technique for fusing multiple cues to robustly segment an object from its background in video sequences that suffer from abrupt changes of both illumination and p...