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ICRA
2010
IEEE
107views Robotics» more  ICRA 2010»
14 years 11 months ago
Using stereo for object recognition
— There has been significant progress recently in object recognition research, but many of the current approaches still fail for object classes with few distinctive features, an...
Scott Helmer, David G. Lowe
CVPR
1999
IEEE
15 years 4 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
FGR
2004
IEEE
205views Biometrics» more  FGR 2004»
15 years 4 months ago
Oriented Filters for Object Recognition: an Empirical Study
Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations....
Jerry Jun Yokono, Tomaso Poggio
ICCV
2005
IEEE
16 years 2 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
RAS
2008
112views more  RAS 2008»
14 years 12 months ago
Learning and generalising semantic knowledge from object scenes
The robot described in this paper learns words that relate to objects and their attributes and also learns concepts, which may be recursive, that involve relationships between sev...
Claire D'Este, Claude Sammut