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» Improved SIFT-Features Matching for Object Recognition
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ICPR
2004
IEEE
14 years 8 months ago
Pose Clustering Guided by Short Interpretation Trees
It is common in object recognition algorithms based on viewpoint consistency to find object poses that align many of the object features with features extracted from a search imag...
Clark F. Olson
CVPR
1999
IEEE
13 years 11 months ago
A New Bayesian Framework for Object Recognition
We introduce an approach to feature-based object recognition, using maximum a posteriori (MAP) estimation under a Markov random field (MRF) model. This approach provides an effici...
Yuri Boykov, Daniel P. Huttenlocher
WACV
2005
IEEE
14 years 1 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
CAIP
2009
Springer
220views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Cooperative Stereo Matching with Color-Based Adaptive Local Support
Color processing imposes a new constraint on stereo vision algorithms: The assumption of constant color on object surfaces used to align local correlation windows with object bound...
Roland Brockers
DGCI
2003
Springer
14 years 21 days ago
Geodesic Object Representation and Recognition
This paper describes a shape signature that captures the intrinsic geometric structure of 3D objects. The primary motivation of the proposed approach is to encode a 3D shape into a...
A. Ben Hamza, Hamid Krim