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» A Practical Method for the Sparse Resultant
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TIP
2011
255views more  TIP 2011»
15 years 1 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard
MICCAI
2006
Springer
16 years 7 months ago
Automatic Point Landmark Matching for Regularizing Nonlinear Intensity Registration: Application to Thoracic CT Images
Nonlinear image registration is a prerequisite for a variety of medical image analysis tasks. A frequently used registration method is based on manually or automatically derived po...
Martin Urschler, Christopher Zach, Hendrik Ditt, H...
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
15 years 7 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
IJCM
2002
73views more  IJCM 2002»
15 years 6 months ago
Space-Time Equations for Non-Unimodular Mappings
Abstract. The class of systems of uniform recurrence equations (UREs) is closed under unimodular transformations. As a result, every systolic array described by a unimodular mappin...
Jingling Xue, Patrick M. Lenders
ICCV
2011
IEEE
14 years 6 months ago
Multiview 3D Warps
Image registration and 3D reconstruction are fundamental computer vision and medical imaging problems. They are particularly challenging when the input data are images of a deform...
Alessio Del Bue, Adrien Bartoli