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» Geometrical plenoptic sampling
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ICIP
1999
IEEE
16 years 3 months ago
Uncertainties in Bayesian Geometric Models
Deformable geometric models fit very naturally into the context of Bayesian analysis. The prior probability of boundary shapes is taken to proportional to the negative exponential...
Kenneth M. Hanson, Gregory S. Cunningham, Robert J...
CORR
2010
Springer
69views Education» more  CORR 2010»
15 years 1 months ago
A Geometric View of Conjugate Priors
In Bayesian machine learning, conjugate priors are popular, mostly due to mathematical convenience. In this paper, we show that there are deeper reasons for choosing a conjugate pr...
Arvind Agarwal, Hal Daumé III
CVPR
2010
IEEE
15 years 10 months ago
Monocular SLAM with Locally Planar Landmarks via Geometric Rao-Blackwellized Particle Filtering on Lie groups
We propose a novel geometric Rao-Blackwellized particle filtering framework for monocular SLAM with locally planar landmarks. We represent the states for the camera pose and the la...
Junghyun Kwon (Seoul National University) and Kyou...
ICASSP
2009
IEEE
15 years 8 months ago
A differential geometric approach to discrete-coefficient filter design
This paper is concerned with the problem of computing a discretecoefficient approximation to a digital filter. In contrast to earlier works that have approached this problem usi...
Subramanian Ramamoorthy, Lothar Wenzel, James Nagl...
118
Voted
CIVR
2004
Springer
128views Image Analysis» more  CIVR 2004»
15 years 7 months ago
A Geometrical Key-Frame Selection Method Exploiting Dominant Motion Estimation in Video
We describe an original method for selecting key frames to represent the content of every shot in a video. We aim at spatially sampling in an uniform way the coverage of the scene ...
Brigitte Fauvet, Patrick Bouthemy, Patrick Gros, F...