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ICIP
2010
IEEE
13 years 3 months ago
Learning image similarities via Probabilistic Feature Matching
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...
Ziming Zhang, Ze-Nian Li, Mark S. Drew
JCP
2008
162views more  JCP 2008»
13 years 5 months ago
Shape Recognition by Clustering and Matching of Skeletons
We perform the task of shape recognition using a skeleton based method. Skeleton of the shape is considered as a free tree and is represented by a connectivity graph. Geometric fea...
Hamidreza Zaboli, Mohammad Rahmati, Abdolreza Mirz...
ICPR
2008
IEEE
14 years 6 days ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
AMFG
2005
IEEE
155views Biometrics» more  AMFG 2005»
13 years 11 months ago
Linear Programming for Matching in Human Body Gesture Recognition
We present a novel human body gesture recognition method using a linear programming based matching scheme. Instead of attempting to segment an object from the background, we develo...
Hao Jiang, Ze-Nian Li, Mark S. Drew
AC
2000
Springer
13 years 10 months ago
Graph-Theoretical Methods in Computer Vision
The management of large databases of hierarchical (e.g., multi-scale or multilevel) image features is a common problem in object recognition. Such structures are often represented ...
Ali Shokoufandeh, Sven J. Dickinson