21 search results - page 2 / 5 » Feature Correspondence Via Graph Matching: Models and Global... |
ICIP
2010
IEEE
13 years 4 months ago
2010
IEEE
In this paper, we propose a novel image similarity learning approach based on Probabilistic Feature Matching (PFM). We consider the matching process as the bipartite graph matchin...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
We consider the problem of finding a matching between two sets of features, given complex relations among them, going beyond pairwise. Each feature set is modeled by a hypergraph ...
ECCV
2006
Springer
14 years 8 months ago
2006
Springer
Abstract. Establishing correspondence between features of a set of images has been a long-standing issue amongst the computer vision community. We propose a method that solves the ...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
CVPR
2011
IEEE
13 years 2 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...