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» Object Recognition and Recovery by Skeleton Graph Matching
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91
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ICCV
2003
IEEE
16 years 2 months ago
A Bayesian Network Framework for Relational Shape Matching
A Bayesian network formulation for relational shape matching is presented. The main advantage of the relational shape matching approach is the obviation of the non-rigid spatial m...
Anand Rangarajan, James M. Coughlan, Alan L. Yuill...
147
Voted
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 2 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
118
Voted
PAMI
2006
196views more  PAMI 2006»
15 years 21 days ago
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based alg...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ICCV
2007
IEEE
16 years 2 months ago
An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
In this paper we present an empirical study of object category recognition using generalized samples and a set of sequential tests. We study 33 categories, each consisting of a sm...
Liang Lin, Shaowu Peng, Jake Porway, Song Chun Zhu...
102
Voted
ICIP
2010
IEEE
14 years 10 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