82 search results - page 1 / 17 » A new localized superpixel Markov random field for image seg... |
ICMCS
2009
IEEE
13 years 8 months ago
2009
IEEE
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
We propose a method to identify and localize object
classes in images. Instead of operating at the pixel level,
we advocate the use of superpixels as the basic unit of a
class s...
ECCV
2010
Springer
14 years 3 months ago
2010
Springer
This paper presents a simple and effective nonparametric approach to the problem of image parsing, or labeling image regions (in our case, superpixels produced by bottom-up segmen...
CVPR
2011
IEEE
13 years 7 months ago
2011
IEEE
We propose to bridge the gap between Random Field (RF) formulations for joint categorization and segmentation (JCaS), which model local interactions among pixels and superpixels, ...
PAMI
2010
13 years 9 months ago
2010
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...