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ICCV
2009
IEEE
14 years 11 months ago
Optimal Correspondences from Pairwise Constraints
Correspondence problems are of great importance in computer vision. They appear as subtasks in many applications such as object recognition, merging partial 3D reconstructions a...
Olof Enqvist, Klas Josephson, Fredrik Kahl
DAGSTUHL
2006
13 years 7 months ago
Many-to-Many Feature Matching in Object Recognition
One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the gener...
Ali Shokoufandeh, Yakov Keselman, M. Fatih Demirci...
ICRA
2000
IEEE
192views Robotics» more  ICRA 2000»
13 years 10 months ago
Robust Localization for 3D Object Recognition Using Local EGI and 3D Template Matching with M-Estimators
A tele-operated system in a robot greatly reduces the demands on the human operator, although some human intervention is still required to perform such tasks as insulator recognit...
Kentaro Kawamura, Kiminori Hasegawa, Yasuyuki Some...
IJCV
2006
115views more  IJCV 2006»
13 years 6 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...
ICCV
2005
IEEE
13 years 12 months ago
Mutual Information-Based 3D Surface Matching with Applications to Face Recognition and Brain Mapping
Face recognition and many medical imaging applications require the computation of dense correspondence vector fields that match one surface with another. In brain imaging, surfac...
Yalin Wang, Ming-Chang Chiang, Paul M. Thompson