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» Local Features for Object Class Recognition
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PAMI
2012
11 years 10 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
15 years 14 days ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
CVPR
2011
IEEE
13 years 3 months ago
Boundary Preserving Dense Local Regions
We propose a dense local region detector to extract features suitable for image matching and object recognition tasks. Whereas traditional local interest operators rely on repeata...
Jaechul Kim, Kristen Grauman
IROS
2007
IEEE
134views Robotics» more  IROS 2007»
14 years 2 months ago
Feature selection for grasp recognition from optical markers
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchel...
CVPR
2008
IEEE
14 years 9 months ago
Beyond sliding windows: Object localization by efficient subwindow search
Most successful object recognition systems rely on binary classification, deciding only if an object is present or not, but not providing information on the actual object location...
Christoph H. Lampert, Matthew B. Blaschko, Thomas ...