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CVPR
2000
IEEE
16 years 14 days ago
2000
IEEE
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
89
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CVPR
2000
IEEE
16 years 14 days ago
2000
IEEE
In this paper we present a novel approach to estimate and analyze 3D uid structure and motion of clouds from multi-spectrum 2D cloud image sequences. Accurate cloud-top structure ...
CVPR
2000
IEEE
16 years 14 days ago
2000
IEEE
Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
100
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CVPR
2000
IEEE
16 years 14 days ago
2000
IEEE
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
78
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CVPR
2000
IEEE
15 years 2 months ago
2000
IEEE
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...