54 search results - page 3 / 11 » Superpixel-based object class segmentation using conditional... |
SIAMIS
2010
13 years 15 days ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
ICCV
2009
IEEE
13 years 3 months ago
2009
IEEE
Most methods for object class segmentation are formulated as a labelling problem over a single choice of quantisation of an image space - pixels, segments or group of segments. It...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
NIPS
2004
13 years 7 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...