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201
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...
250
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a d...
138
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ECCV
2002
Springer
16 years 8 months ago
2002
Springer
This paper studies the inference of 3D shape from a set of ? noisy photos. We derive a probabilistic framework to specify what one can infer about 3D shape for arbitrarily-shaped, ...
230
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ECCV
1998
Springer
16 years 8 months ago
1998
Springer
Registering 3D point sets is a common problem in computer vision. The case of two point sets has been analytically well solved by several authors. In this paper we present an analy...
197
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ICIP
2008
IEEE
16 years 8 months ago
2008
IEEE
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...