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» Invariant Image Object Recognition Using Mixture Densities
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GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
ICRA
2008
IEEE
204views Robotics» more  ICRA 2008»
15 years 6 months ago
Active exploration and keypoint clustering for object recognition
— Object recognition is a challenging problem for artificial systems. This is especially true for objects that are placed in cluttered and uncontrolled environments. To challenge...
Gert Kootstra, Jelmer Ypma, Bart de Boer
IJCV
2010
167views more  IJCV 2010»
14 years 6 months ago
A Solution of the Dichromatic Model for Multispectral Photometric Invariance
In this paper, we address the problem of photometric invariance in multispectral imaging making use of an optimisation approach based upon the dichromatic model. In this manner, w...
Cong Phuoc Huynh, Antonio Robles-Kelly
IJVR
2008
208views more  IJVR 2008»
14 years 10 months ago
A View-based Multiple Objects Tracking and Human Action Recognition for Interactive Virtual Environments
As environments become smart in accordance with advances in ubiquitous computing technology, researchers are struggling to satisfy users' diverse and sophisticated demands. Th...
Jin Choi, Yong-il Cho, Kyusung Cho, Su-jung Bae, H...
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ECCV
2004
Springer
16 years 1 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard