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ICCV
2007
IEEE
14 years 8 months ago
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration
Robust integration of range images is an important task for building high-quality 3D models. Since range images, and in particular range maps from stereo vision, may have a substa...
Christopher Zach, Thomas Pock, Horst Bischof
PSIVT
2009
Springer
211views Multimedia» more  PSIVT 2009»
13 years 11 months ago
Inclusion of a Second-Order Prior into Semi-Global Matching
Today’s stereo vision algorithms and computing technology allow real-time 3D data analysis, for example for driver assistance systems. A recently developed Semi-Global Matching (...
Simon Hermann, Reinhard Klette, Eduardo Destefanis
TMI
2010
143views more  TMI 2010»
13 years 1 months ago
Data Specific Spatially Varying Regularization for Multimodal Fluorescence Molecular Tomography
Fluorescence molecular tomography (FMT) allows in vivo localization and quantification of fluorescence biodistributions in whole animals. The ill-posed nature of the tomographic re...
Damon Hyde, Eric L. Miller, Dana H. Brooks, Vasili...
AMC
2007
125views more  AMC 2007»
13 years 7 months ago
Geometric multigrid for high-order regularizations of early vision problems
The surface estimation problem is used as a model to demonstrate a framework for solving early vision problems by high-order regularization with natural boundary conditions. Becaus...
Stephen L. Keeling, Gundolf Haase
JMLR
2006
186views more  JMLR 2006»
13 years 6 months ago
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
We propose a family of learning algorithms based on a new form of regularization that allows us to exploit the geometry of the marginal distribution. We focus on a semi-supervised...
Mikhail Belkin, Partha Niyogi, Vikas Sindhwani