110 search results - page 9 / 22 » Figure-ground segmentation using a hierarchical conditional ... |
103
click to vote
PREMI
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. In this paper, we propose an unsupervised color image segmentation scheme using homotopy continuation method and Compound Markov Random Field (CMRF) model. The proposed s...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we present a new approach for image labeling based on the recently introduced graph-shifts algorithm. Graph-shifts is an energy minimization algorithm that does lab...
85
Voted
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
141
click to vote
PAMI
2010
14 years 8 months ago
2010
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...
SSIAI
2000
IEEE
15 years 2 months ago
2000
IEEE
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...