71 search results - page 7 / 15 » Sparse Signal Recovery Using Markov Random Fields |
ICIP
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
CVPR
2011
IEEE
13 years 3 months ago
2011
IEEE
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
AAAI
2004
13 years 9 months ago
2004
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
CAIP
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. In this paper we address the challenging problem of recovering the depth of a scene from a single image using defocus cue. To achieve this, we first present a novel appro...
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...