3. SSVM 2011: Ein-Gedi, Israel

Denoising and Enhancement (O1 and O5)

• Remco Duits, Tom C. J. Dela Haije, Arpan Ghosh, Eric J. Creusen, Anna Vilanova, Bart M. ter Haar Romeny:
  Fiber Enhancement in Diffusion-Weighted MRI. 1-13
  
• Eric J. Creusen, Remco Duits, Tom C. J. Dela Haije:
  Numerical Schemes for Linear and Non-linear Enhancement of DW-MRI. 14-25
  
• Markus Mainberger, Sebastian Hoffmann, Joachim Weickert, Ching Hoo Tang, Daniel Johannsen, Frank Neumann, Benjamin Doerr:
  Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting. 26-37
  
• Serena Morigi, Marco Rucci, Fiorella Sgallari:
  Nonlocal Surface Fairing. 38-49
  
• Tanja Teuber, Annika Lang:
  Nonlocal Filters for Removing Multiplicative Noise. 50-61
  
• Andreas Schwarzkopf, Thomas Kalbe, Chandrajit Bajaj, Arjan Kuijper, Michael Goesele:
  Volumetric Nonlinear Anisotropic Diffusion on GPUs. 62-73
  
• Klaus Frick, Philipp Marnitz:
  A Statistical Multiresolution Strategy for Image Reconstruction. 74-85
  
• Raymond H. Chan, Mila Nikolova, You-Wei Wen:
  A Variational Approach for Exact Histogram Specification. 86-97
  
• Sebastian Bauer, Benjamin Berkels, Joachim Hornegger, Martin Rumpf:
  Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy. 98-109
  
• Mila Nikolova:
  Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization. 110-121
  
• Jing Yuan, Juan Shi, Xue-Cheng Tai, Yuri Boykov:
  A Study on Convex Optimization Approaches to Image Fusion. 122-133
  
• Aaron Wetzler, Ron Kimmel:
  Efficient Beltrami Flow in Patch-Space. 134-143
  
• Yuping Duan, Yu Wang, Xue-Cheng Tai, Jooyoung Hahn:
  A Fast Augmented Lagrangian Method for Euler's Elastica Model. 144-156
  
• Iftach Klapp, Nir A. Sochen, David Mendlovic:
  Deblurring Space-Variant Blur by Adding Noisy Image. 157-168
  
• Jooyoung Hahn, Ginmo Jason Chung, Yu Wang, Xue-Cheng Tai:
  Fast Algorithms for p-elastica Energy with the Application to Image Inpainting and Curve Reconstruction. 169-182
  
• Nir A. Sochen, Leah Bar:
  The Beltrami-Mumford-Shah Functional. 183-193
  
• Daniele Bertaccini, Raymond H. Chan, Serena Morigi, Fiorella Sgallari:
  An Adaptive Norm Algorithm for Image Restoration. 194-205
  
• Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr:
  Variational Image Denoising with Adaptive Constraint Sets. 206-217
  
• Jun Liu, Xue-cheng Tai, Haiyang Huang, Zhongdan Huan:
  Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. 218-230
  
• Charles-Alban Deledalle, Vincent Duval, Joseph Salmon:
  Anisotropic Non-Local Means with Spatially Adaptive Patch Shapes. 231-242
  

Segmentation (O2)

• Byung-Woo Hong, Kangyu Ni, Stefano Soatto:
  Entropy-Scale Profiles for Texture Segmentation. 243-254
  
• Miyoun Jung, Gabriel Peyré, Laurent D. Cohen:
  Non-local Active Contours. 255-266
  
• Sibel Tari, Murat Genctav:
  From a Modified Ambrosio-Tortorelli to a Randomized Part Hierarchy Tree. 267-278
  
• Jing Yuan, Egil Bae, Yuri Boykov, Xue-Cheng Tai:
  A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior. 279-290
  
• Li-Lian Wang, Yuying Shi, Xue-Cheng Tai:
  Robust Edge Detection Using Mumford-Shah Model and Binary Level Set Method. 291-301
  
• Tomoya Sakai, Haruhiko Nishiguchi, Hayato Itoh, Atsushi Imiya:
  Bifurcation of Segment Edge Curves in Scale Space. 302-313
  
• Manuel Werlberger, Markus Unger, Thomas Pock, Horst Bischof:
  Efficient Minimization of the Non-local Potts Model. 314-325
  
• Benjamin Berkels, Marc Kotowski, Martin Rumpf, Carlo Schaller:
  Sulci Detection in Photos of the Human Cortex Based on Learned Discriminative Dictionaries. 326-337
  
• Dorit S. Hochbaum:
  An Efficient and Effective Tool for Image Segmentation, Total Variations and Regularization. 338-349
  
• Yan Li, David M. J. Tax, Marco Loog:
  Supervised Scale-Invariant Segmentation (and Detection). 350-361
  
• Youssef Rouchdy, Laurent D. Cohen:
  A Geodesic Voting Shape Prior to Constrain the Level Set Evolution for the Segmentation of Tubular Trees. 362-373
  
• Martin Welk:
  Amoeba Active Contours. 374-385
  
• Y. Ahipo, Didier Auroux, L. D. Cohen, Mohamed Masmoudi:
  A Hybrid Scheme for Contour Detection and Completion Based on Topological Gradient and Fast Marching Algorithms - Application to Inpainting and Segmentation. 386-397
  
• David Peles, Michael Lindenbaum:
  A Segmentation Quality Measure Based on Rich Descriptors and Classification Methods. 398-410
  
• Xiaohao Cai, Raymond H. Chan, Serena Morigi, Fiorella Sgallari:
  Framelet-Based Algorithm for Segmentation of Tubular Structures. 411-422
  
• Bernhard Schmitzer, Christoph Schnörr:
  Weakly Convex Coupling Continuous Cuts and Shape Priors. 423-434
  

Image Representation and Invariants (O3)

• Julien Rabin, Gabriel Peyré, Julie Delon, Marc Bernot:
  Wasserstein Barycenter and Its Application to Texture Mixing. 435-446
  
• Pascal Gwosdek, Sven Grewenig, Andrés Bruhn, Joachim Weickert:
  Theoretical Foundations of Gaussian Convolution by Extended Box Filtering. 447-458
  
• Micha Feigin, Dan Feldman, Nir A. Sochen:
  From High Definition Image to Low Space Optimization. 459-470
  
• Yonathan Aflalo, Ron Kimmel:
  Measuring Geodesic Distances via the Uniformization Theorem. 471-482
  
• Thomas Batard, Nir A. Sochen:
  Polyakov Action on (ρ, G)-Equivariant Functions Application to Color Image Regularization. 483-494
  
• Juan Shi, Min Wan, Xue-Cheng Tai, Desheng Wang:
  Curvature Minimization for Surface Reconstruction with Features. 495-507
  
• Mila Nikolova:
  Should We Search for a Global Minimizer of Least Squares Regularized with an ℓ0 Penalty to Get the Exact Solution of an under Determined Linear System? 508-519
  
• Guillermo Gallego, Anthony J. Yezzi, Francesco Fedele, Alvise Benetazzo:
  Weak Statistical Constraints for Variational Stereo Imaging of Oceanic Waves. 520-531
  
• Kai Uwe Hagenburg, Michael Breuß, Joachim Weickert, Oliver Vogel:
  Novel Schemes for Hyperbolic PDEs Using Osmosis Filters from Visual Computing. 532-543
  
• Andreas Luxenburger, Henning Zimmer, Pascal Gwosdek, Joachim Weickert:
  Fast PDE-Based Image Analysis in Your Pocket. 544-555
  
• Deokwoo Lee, Hamid Krim:
  A Sampling Theorem for a 2D Surface. 556-567
  
• Manuel Gräf, Daniel Potts, Gabriele Steidl:
  Quadrature Nodes Meet Stippling Dots. 568-579
  

Shape Analysis (O4)

• Chaohui Wang, Michael M. Bronstein, Alexander M. Bronstein, Nikos Paragios:
  Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching. 580-591
  
• Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein:
  A Correspondence-Less Approach to Matching of Deformable Shapes. 592-603
  
• Dan Raviv, Anastasia Dubrovina, Ron Kimmel:
  Hierarchical Matching of Non-rigid Shapes. 604-615
  
• Artiom Kovnatsky, Michael M. Bronstein, Alexander M. Bronstein, Ron Kimmel:
  Photometric Heat Kernel Signatures. 616-627
  
• Sheng Yi, Hamid Krim, Larry K. Norris:
  Human Activity Modeling as Brownian Motion on Shape Manifold. 628-639
  
• Karol Mikula, Jozef Urbán:
  3D Curve Evolution Algorithm with Tangential Redistribution for a Fully Automatic Finding of an Ideal Camera Path in Virtual Colonoscopy. 640-652
  
• Pavel Dimitrov, Matthew Lawlor, Steven W. Zucker:
  Distance Images and Intermediate-Level Vision. 653-664
  
• Amit Hooda, Michael M. Bronstein, Alexander M. Bronstein, Radu Horaud:
  Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes. 665-676
  
• Stefan Sommer, François Lauze, Mads Nielsen, Xavier Pennec:
  Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration. 677-688
  
• Yonathan Aflalo, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel:
  Deformable Shape Retrieval by Learning Diffusion Kernels. 689-700
  

Optical Flow (O6)

• Thomas Corpetti, Étienne Mémin:
  Stochastic Models for Local Optical Flow Estimation. 701-712
  
• Oliver Demetz, Joachim Weickert, Andrés Bruhn, Henning Zimmer:
  Optic Flow Scale Space. 713-724
  
• Guy Rosman, Michael M. Bronstein, Alexander M. Bronstein, Alon Wolf, Ron Kimmel:
  Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes. 725-736
  
• Pierre Dérian, Patrick Héas, Cédric Herzet, Étienne Mémin:
  Wavelet-Based Fluid Motion Estimation. 737-748
  
• Sai Subrahmanyam Gorthi, Sébastien Beyou, Thomas Corpetti, Étienne Mémin:
  Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation. 749-760
  
• Guy Rosman, Shachar Shem-Tov, David Bitton, Tal Nir, Gilad Adiv, Ron Kimmel, Arie Feuer, Alfred M. Bruckstein:
  Over-Parameterized Optical Flow Using a Stereoscopic Constraint. 761-772
  
• Patrick Héas, Cédric Herzet, Étienne Mémin:
  Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters. 773-785
  
• Luc Florack:
  Regularization of Positive Definite Matrix Fields Based on Multiplicative Calculus. 786-796
  

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