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» A Convex Approach for Variational Super-Resolution
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DAGM
2003
Springer
13 years 11 months ago
Domain Decomposition for Parallel Variational Optical Flow Computation
We present an approach to parallel variational optical flow computation by using an arbitrary partition of the image plane and iteratively solving related local variational proble...
Timo Kohlberger, Christoph Schnörr, Andr&eacu...
ECCV
2010
Springer
13 years 6 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
ISVC
2005
Springer
13 years 11 months ago
A Vectorial Self-dual Morphological Filter Based on Total Variation Minimization
We present a vectorial self dual morphological filter. Contrary to many methods, our approach does not require the use of an ordering on vectors. It relies on the minimization of ...
Jérôme Darbon, Sylvain Peyronnet
CVPR
2010
IEEE
14 years 19 days ago
Variational Segmentation of Volumetric Elongated Objects
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glob...
Christian Reinbacher, Thomas Pock, Christian Bauer...
CVPR
2010
IEEE
13 years 11 months ago
Variational Segmentation of Elongated Volumetric Structures
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glo...
Christian Reinbacher, Thomas Pock, Christian Bauer...