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ECCV
2008
Springer
14 years 7 months ago
A Generic Neighbourhood Filtering Framework for Matrix Fields
Luis Pizarro, Bernhard Burgeth, Stephan Didas, Joa...
SCALESPACE
2007
Springer
13 years 11 months ago
A Generic Approach to the Filtering of Matrix Fields with Singular PDEs
Abstract. There is an increasing demand to develop image processing tools for the filtering and analysis of matrix-valued data, so-called matrix fields. In the case of scalar-val...
Bernhard Burgeth, Stephan Didas, Luc Florack, Joac...
CVPR
2005
IEEE
14 years 7 months ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black
SIAMREV
2010
174views more  SIAMREV 2010»
13 years 2 days ago
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the ...
Benjamin Recht, Maryam Fazel, Pablo A. Parrilo
ICCV
2003
IEEE
14 years 7 months ago
Variational Stereovision and 3D Scene Flow Estimation with Statistical Similarity Measures
We present a common variational framework for dense depth recovery and dense three-dimensional motion field estimation from multiple video sequences, which is robust to camera spe...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...