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» Variational Bayesian image modelling
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ACCV
2007
Springer
15 years 9 months ago
Image Assimilation for Motion Estimation of Atmospheric Layers with Shallow-Water Model
The complexity of dynamical laws governing 3D atmospheric flows associated to incomplete and noisy observations makes very difficult the recovery of atmospheric dynamics from sate...
Nicolas Papadakis, Patrick Héas, Éti...
ECCV
2000
Springer
16 years 5 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
AAAI
2004
15 years 4 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
SI3D
2005
ACM
15 years 8 months ago
Adaptive sampling of intersectable models exploiting image and object-space coherence
We present a sampling strategy and rendering framework for intersectable models, whose surface is implicitly defined by a black box intersection test that provides the location a...
Anders Adamson, Marc Alexa, Andrew Nealen
ICCV
1998
IEEE
16 years 5 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender