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ICCV
2003
IEEE
14 years 1 months ago
Variational Frameworks for DT-MRI Estimation, Regularization and Visualization
We address three crucial issues encountered in DT-MRI (Diffusion Tensor Magnetic Resonance Imaging) : diffusion tensor Estimation, Regularization and fiber bundle Visualization. ...
David Tschumperlé, Rachid Deriche
PREMI
2005
Springer
14 years 1 months ago
Fusing Depth and Video Using Rao-Blackwellized Particle Filter
We address the problem of fusing sparse and noisy depth data obtained from a range finder with features obtained from intensity images to estimate ego-motion and refine 3D struct...
Amit K. Agrawal, Rama Chellappa
IJCV
2000
93views more  IJCV 2000»
13 years 7 months ago
How Optimal Depth Cue Integration Depends on the Task
Bayesian parameter estimation can be used to generate statistically optimal solutions to the problem of cue integration. However, the complexity and dimensionality of these solutio...
Paul R. Schrater, Daniel Kersten
PRESENCE
2002
129views more  PRESENCE 2002»
13 years 7 months ago
Share-Z: Client/Server Depth Sensing for See-Through Head-Mounted Displays
In mixed reality, occlusions and shadows are important to realize a natural fusion between the real and virtual worlds. In order to achieve this, it is necessary to acquire dense ...
Yuichi Ohta, Yasuyuki Sugaya, Hiroki Igarashi, Tos...
TMI
2008
171views more  TMI 2008»
13 years 7 months ago
Fluid Registration of Diffusion Tensor Images Using Information Theory
We apply an information-theoretic cost metric, the symmetrized Kullback-Leibler (sKL) divergence, or -divergence, to fluid registration of diffusion tensor images. The difference b...
Ming-Chang Chiang, Alex D. Leow, Andrea D. Klunder...