1410 search results - page 131 / 282 » Learning to localize detected objects |
156
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IJCV
2000
15 years 4 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
152
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ISBI
2008
IEEE
16 years 5 months ago
2008
IEEE
A particularly difficult task in molecular imaging is the analysis of fluorescence microscopy images of neural tissue, as they usually exhibit a high density of objects with diffu...
207
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PAMI
2012
13 years 7 months ago
2012
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
142
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ICPR
2004
IEEE
16 years 6 months ago
2004
IEEE
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
146
Voted
IJCV
2008
15 years 5 months ago
2008
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...