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检索条件"任意字段=4th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2013"
84 条 记 录,以下是21-30 订阅
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Vehicle X-ray Scans Registration: A One-Dimensional Optimization Problem  6th
Vehicle X-ray Scans Registration: A One-Dimensional Optimiza...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Marciano, Abraham Cohen, Laurent D. Gadi, Najib Univ Paris 09 PSL Res Univ CNRS CEREMADEUMR 7534 F-75016 Paris France Smiths Detect F-94405 Vitry Sur Seine France
Over the years, image registration has been largely employed in medical applications, robotics and geophysics. More recently, it has increasingly drawn attention of security and defense industries, particularly aiming... 详细信息
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Evaluating Data Terms for variational Multi-frame Super-Resolution  6th
Evaluating Data Terms for Variational Multi-frame Super-Reso...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Bodduna, Kireeti Weickert, Joachim Saarland Univ Math Image Anal Grp Fac Math & Comp Sci D-66041 Saarbrucken Germany
We present the first systematic evaluation of the data terms for multi-frame super-resolution within a variational model. the various data terms are derived by permuting the order of the blur-, downsample-, and warp-o... 详细信息
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Direct MRI Segmentation from k-space Data by Iterative Potts Minimization  7th
Direct MRI Segmentation from k-Space Data by Iterative Potts...
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7th international conference on scale space and variational methods in computer vision (ssvm)
作者: Kiefer, Lukas Petra, Stefania Storath, Martin Weinmann, Andreas Heidelberg Univ Math Imaging Grp Heidelberg Germany Hsch Darmstadt Dept Math & Nat Sci Darmstadt Germany Hsch Wurzburg Schweinfurt Dept Appl Nat Sci & Humanities Wurzburg Germany Helmholtz Zentrum Munchen Inst Computat Biol Munich Germany
We consider the problem of image segmentation in magnetic resonance imaging (MRI) directly from k-space measurements as opposed to more standard approaches that first reconstruct the image before segmenting it. the mo... 详细信息
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Targeted iterative filtering
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4th international conference on scale space and variational methods in computer vision, ssvm 2013
作者: Åström, Freddie Felsberg, Michael Baravdish, George Lundström, Claes Computer Vision Laboratory Linköping University Sweden Center for Medical Image Science and Visualization Linköping University Sweden Department of Science and Technology Linköping University Sweden Sectra AB Sweden
the assessment of image denoising results depends on the respective application area, i.e. image compression, still-image acquisition, and medical images require entirely different behavior of the applied denoising me... 详细信息
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Optical flow on evolving surfaces with an application to the analysis of 4D microscopy data
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4th international conference on scale space and variational methods in computer vision, ssvm 2013
作者: Kirisits, Clemens Lang, Lukas F. Scherzer, Otmar Computational Science Center University of Vienna Nordbergstr. 15 1090 Vienna Austria Radon Institute of Computational and Applied Mathematics Austrian Academy of Sciences Altenberger Str. 69 4040 Linz Austria
We extend the concept of optical flow to a dynamic non-Euclidean setting. Optical flow is traditionally computed from a sequence of flat images. It is the purpose of this paper to introduce variational motion estimati... 详细信息
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Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition  6th
Combining Contrast Invariant L1 Data Fidelities with Nonline...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Zeune, Leonie van Gils, Stephan A. Terstappen, Leon W. M. M. Brune, Christoph Univ Twente Dept Appl Math NL-7522 NB Enschede Netherlands Univ Twente Dept Med Cell BioPhys NL-7522 NB Enschede Netherlands
this paper focuses on multi-scale approaches for variational methods and corresponding gradient flows. Recently, for convex regularization functionals such as total variation, new theory and algorithms for nonlinear e... 详细信息
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Order-Adaptive Regularisation for variational Optical Flow: Global, Local and in Between  6th
Order-Adaptive Regularisation for Variational Optical Flow: ...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Maurer, Daniel Stoll, Michael Bruhn, Andres Univ Stuttgart Comp Vis & Intelligent Syst Grp Inst Visualizat & Interact Syst D-70569 Stuttgart Germany
Recent approaches for variational motion estimation typically either rely on first or second order regularisation strategies. While first order strategies are more appropriate for scenes with fronto-parallel motion, s... 详细信息
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A Comparison of Isotropic and Anisotropic Second Order Regularisers for Optical Flow  6th
A Comparison of Isotropic and Anisotropic Second Order Regul...
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6th international conference on scale space and variational methods in computer vision (ssvm)
作者: Maurer, Daniel Stoll, Michael Volz, Sebastian Gairing, Patrick Bruhn, Andres Univ Stuttgart Comp Vis & Intelligent Syst Grp Inst Visualizat & Interact Syst D-70569 Stuttgart Germany
In variational optical flow estimation, second order regularisation plays an important role, since it offers advantages in the context of non-fronto-parallel motion. However, in contrast to first order smoothness cons... 详细信息
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A mathematically justified algorithm for shape from texture
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4th international conference on scale space and variational methods in computer vision, ssvm 2013
作者: Rhodin, Helge Breuß, Michael Graphics Vision and Video Group Max-Planck-Institut für Informatik Campus E1 4 66123 Saarbruecken Germany Applied Mathematics and Computer Vision Group BTU Cottbus Institute for Applied Mathematics and Scientific Computing Platz der Deutschen Einheit 1 03046 Cottbus Germany
In this paper we propose a new continuous Shape from Texture (SfT) model for piecewise planar surfaces. It is based on the assumptions of texture homogeneity and perspective camera projection. We show that in this set... 详细信息
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Constrained sparse texture synthesis
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4th international conference on scale space and variational methods in computer vision, ssvm 2013
作者: Tartavel, Guillaume Gousseau, Yann Peyré, Gabriel LTCI CNRS Telecom ParisTech France Ceremade Université Paris-Dauphine France
this paper presents a novel texture synthesis algorithm that performs a sparse expansion of the patches of the image in a dictionary learned from an input exemplar. the synthesized texture is computed through the mini... 详细信息
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