273 search results - page 5 / 55 » Adaptative Markov Random Fields for Omnidirectional Vision |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We address the problem of label assignment in computer
vision: given a novel 3-D or 2-D scene, we wish to assign a
unique label to every site (voxel, pixel, superpixel, etc.). To...
CVPR
1998
IEEE
14 years 9 months ago
1998
IEEE
Markov Random Fields (MRF's) can be used for a wide variety of vision problems. In this paper we focus on MRF's with two-valued clique potentials, which form a generaliz...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
One of the most exciting advances in early vision has been the development of efficient energy minimization algorithms. Many early vision tasks require labeling each pixel with som...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
This paper presents a new kernel method for appearance-based object recognition, highly robust to noise and occlusion. It consists of a fully connected Markov Random Field that in...