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3. SSVM 2011: Ein-Gedi, Israel
- Alfred M. Bruckstein, Bart M. ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein:
Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 - June 2, 2011, Revised Selected Papers. Lecture Notes in Computer Science 6667, Springer 2012, ISBN 978-3-642-24784-2
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, Laurent 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 - Rama Krishna 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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