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» Object Recognition by Implicit Invariants
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CVPR
2008
IEEE
16 years 1 months ago
Edge descriptors for robust wide-baseline correspondence
This paper describes a method for finding wide-baseline correspondences between images at locations along gradient edges. We find edges in scale space using established methods an...
Jason Meltzer, Stefano Soatto
BMVC
1998
15 years 1 months ago
Learning Enhanced 3D Models for Vehicle Tracking
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
James M. Ferryman, Anthony D. Worrall, Stephen J. ...
CVIU
2010
429views more  CVIU 2010»
14 years 11 months ago
Cascade of descriptors to detect and track objects across any network of cameras
Most multi-camera systems assume a well structured environment to detect and track objects across cameras. Cameras need to be fixed and calibrated, or only objects within a traini...
Alexandre Alahi, Pierre Vandergheynst, Michel Bier...
CRV
2011
IEEE
337views Robotics» more  CRV 2011»
13 years 11 months ago
Object Detection Using Principal Contour Fragments
Abstract—Contour features play an important role in object recognition. Psychological experiments have shown that maximum-curvature points are most distinctive along a contour [6...
Changhai Xu, Benjamin Kuipers
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
16 years 4 months 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...