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» Variational Frameworks for DT-MRI Estimation, Regularization...
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ICCV
2003
IEEE
13 years 10 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
DAGM
2006
Springer
13 years 6 months ago
On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-temporal Regularization
We present a variational approach to motion estimation of instationary fluid flows. Our approach extends prior work along two directions: (i) The full incompressible Navier-Stokes ...
Paul Ruhnau, Annette Stahl, Christoph Schnörr
CVPR
2010
IEEE
13 years 11 months ago
Motion Estimation with Non-Local Total Variation Regularization
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...
Manuel Werlberger, Thomas Pock, Horst Bischof
CVPR
2003
IEEE
14 years 6 months ago
Vector-Valued Image Regularization with PDE's : A Common Framework for Different Applications
1 We address the problem of vector-valued image regularization with variational methods and PDE's. From the study of existing formalisms, we propose a unifying framework base...
David Tschumperlé, Rachid Deriche