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ECCV
2008
Springer
14 years 10 months ago
A Generic Neighbourhood Filtering Framework for Matrix Fields
Luis Pizarro, Bernhard Burgeth, Stephan Didas, Joa...
SCALESPACE
2007
Springer
14 years 2 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 10 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 3 months 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 10 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...