417 search results - page 81 / 84 » Supervised Image Segmentation Using Markov Random Fields |
CVPR
2008
IEEE
14 years 1 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...
PAMI
2007
13 years 7 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...
TIP
1998
13 years 7 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...
CVPR
2008
IEEE
14 years 9 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...
CVPR
1999
IEEE
13 years 11 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...