1427 search results - page 66 / 286 » Markov Random Field Models in Computer Vision |
124
Voted
CVPR
2009
IEEE
16 years 8 months ago
2009
IEEE
This paper presents a nonparametric approach to labeling
of local image regions that is inspired by recent developments
in information-theoretic denoising. The chief novelty
of ...
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
This paper is focused on the Co-segmentation problem
[1] – where the objective is to segment a similar object from
a pair of images. The background in the two images may be
ar...
121
click to vote
CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
Previous pixel-level change detection methods either contain a background updating step that is costly for moving cameras (background subtraction) or can not locate object positio...
112
click to vote
ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
Feature points for image correspondence are often selected according to subjective criteria (e.g. edge density, nostrils). In this paper, we present a general, non-subjective crit...
107
Voted
CVPR
1999
IEEE
15 years 5 months ago
1999
IEEE
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...