417 search results - page 81 / 84 » Supervised Image Segmentation Using Markov Random Fields |
140
click to vote
CVPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
178
click to vote
PAMI
2007
15 years 3 months ago
2007
In this paper we present a two-level generative model for representing the images and surface depth maps of drapery and clothes. The upper level consists of a number of folds whic...
171
click to vote
TIP
1998
15 years 3 months ago
1998
Abstract—We propose a method for the reconstruction of signals and images observed partially through a linear operator with a large support (e.g., a Fourier transform on a sparse...
151
click to vote
CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
This paper presents a new method to increase the quality of 3D video, a new media developed to represent 3D objects in motion. This representation is obtained from multi-view reco...
137
click to vote
CVPR
1999
IEEE
15 years 8 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...