Total number of participants: 101
Total number of guests outside of CBC: 100
Number of different nationalities represented: 22
Total number of talks: 25

Papers accepted for the conference will appear in the conference proceedings that will be published in Springer's Lecture Notes in Computer Science series. The proceedings will be available at the conference. Prospective authors are invited to submit a full-length twelve-page paper electronically via the SSVM'09 Paper Submission Web Page. All papers will undergo a double-blind peer-review procedure. At the conference the papers will be presented as posters or talks.

Detailed Programme

Monday, June 1

Tuesday, June 2

Details of the Poster Sessions

Poster Session 1

1. Extraction of the Intercellular Skeleton from 2D Microscope Images of Early Embryogenesis
   Paul Bourgine, Peter Frolkovic, Karol Mikula, Nadine Peyrieras, Mariana Remesikova
2. Highly Accurate PDE-Based Morphology for General Structuring Elements
   Michael Breuß, Joachim Weickert
3. Highlight on a Feature Extracted at Fine Scales: The Pointwise Lipschitz Regularity
   Christophe Damerval, Sylvain Meignen, Christophe Damerval
4. On Semi-implicit Splitting Schemes for the Beltrami Color Flow
   Lorina Dascal, Guy Rosman, Xue-Cheng Tai, Ron Kimmel
5. The Nonlinear Tensor Diffusion in Biological Structure Segmentation from Image Sequences of Embryogenesis
   Olga Drblikova, Karol Mikula, Nadine Peyrieras
6. Optimization of Convex Shapes: An Approach to Crystal Shape Identification
   Timo Eirola, Toni Lassila
7. A Dual Formulation of the TV-Stokes Algorithm for Image Denoising
   Christoffer A. Elo, Alexander Malyshev, Talal Rahman
8. An Implicit Method for Interpolating Two Digital Closed Curves on Parallel Planes
   Nikolaos Gabrielides, Laurent Cohen
9. Basic Image Features (BIFs) Arising from Approximate Symmetry Type
   Lewis Griffin, Martin Lillholm, Mike Crosier, Justus van Sande
10. On the Rate of Structural Change in Scale Spaces
    David Gustavsson, Kim Steenstrup Pedersen, Mads Nielsen, Mads Nielsen
11. A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother
    Carole Le Guyader, Luminita A. Vese
12. A Scale-Space Approach to Landmark Constrained Image Registration
    Eldad Haber, Stefan Heldmann, Jan Modersitzki
13. Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise
    Miyoun Jung, Luminita A. Vese
14. Transitions of a Multi-Scale Image Hierarchy Tree
    Arjan Kuijper
15. Optimization of Divergences Within the Exponential Family for Image Segmentation
    Francois Lecellier, Stephanie Jehan-Besson, Jalal Fadili, Gilles Aubert, Marinette Revenu
16. Local Scale Measure for Remote Sensing Images
    Bin Luo, Jean-François Aujol, Yann Gousseau
17. Momentum Based Optimization Methods for Level Set Segmentation
    Gunnar Läthén, Thord Andersson, Reiner Lenz, Magnus Borga
18. Geodesically Linked Active Contours: Evolution Strategy Based on Minimal Paths
    Julien Mille, Laurent Cohen
19. Fast Dejittering for Digital Video Images
    Mila Nikolova
20. A Non-Local Approach to Shape From Ambient Shading
    Emmanuel Prados, Nitin Jindal, Stefano Soatto
21. Anisotropic Smoothing Using Double Orientations
    Gabriele Steidl, Tanja Teuber
22. Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization
    Xue-Cheng Tai, Sofia Borok, Jooyoung Hahn
23. Fast Shape from Shading for Phong-Type Surfaces
    Oliver Vogel, Michael Breuss, Thomas Leichtweis, Joachim Weickert
24. Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering
    Martin Welk, Guy Gilboa, Joachim Weickert
25. L0-norm and Total Variation for Wavelet Inpainting
    Andy Yau, Xuecheng Tai, Michael Ng
26. Total-Variation Based Piecewise Affine Regularization
    Jing Yuan, Christoph Schnoerr, Gabriele Steidl
27. Hyperbolic Numerics for Variational Approaches to Correspondence Problems
    Henning Zimmer, Michael Breuss, Joachim Weickert, Hans-Peter Seidel

Poster Session 2

1. A Nonlinear Probabilistic Curvature Motion filter for Positron Emission Tomography Images
   Musa Alrefaya, Hichem Sahli, Iris Vanhamel, Dinh Nho Hao
2. Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to the Multiphase Mumford-Shah Model
   Egil Bae, Xue-Cheng Tai
3. A Multiscale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation
   Alessandro Becciu, Hans C. van Assen, Luc Florack, Sebastian Kozerke, Vivian Roode, Bart M. ter Haar Romeny
4. From a Single Point to a Surface Patch by Growing Minimal Paths
   Fethallah Benmansour, Laurent D. Cohen
5. An Unconstrained Multiphase Thresholding Approach for Image Segmentation
   Benjamin Berkels
6. Enhancement of Blurred & Noisy Images Based on an Original Variant of the Total Variation.
   Antonin Chambolle, Khalid Jalalzai
7. Computational Geometry-Based Scale-Space and Modal Image Decomposition
   Anatole Chessel, Bertrand Cinquin, Sabine Bardin, Jean Salamero, Charles Kervrann
8. On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems
   Adriano DeCezaro, Antonio Leitao, Xue-Cheng Tai
9. Contour Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2)
   Remco Duits, Erik Franken
10. Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise
    Micha Feigin, Nir Sochen
11. Extrapolation of Vector Fields Using the Infinity Laplacian and with Applications to Image Segmentation
    Laurence Guillot, Carole Le Guyader
12. A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions
    Karthik Gurumoorthy, Anand Rangarajan
13. Segmentation and Tracking of Tubular Structures in Biomedical Images
    Are Losnegård, Erlend Hodneland, Arvid Lundervold
14. Coarse-to-Fine Image Reconstruction Based on Weighted Differential Features and Background Gauge Fields
    Bart Janssen, Remco Duits, Luc Florack
15. Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement
    Shantanu Joshi, Antonio Marquina, Stanley Osher, Ivo Dinov, John Darrell Van Horn, Arthur Toga
16. The Convergence of a Central-Difference Discretization of Rudin-Osher-Fatemi Model for Image Denoising
    Ming-Jun Lai, Bradley Lucier, Jingyue Wang
17. An Edge-Preserving Multilevel Method for Deblurring, Denoising,
    Serena Morigi, Lothar Reichel, Fiorella Sgallari
18. Pose Invariant Shape prior Segmentation Using Continuous Cuts and Gradient Descent on Lie Groups
    Niels Chr. Overgaard, Ketut Fundana, Anders Heyden
19. Validation of Watershed Regions by Scale-Space Statistics
    Tomoya Sakai, Atsushi Imiya
20. Sparsity Regularization for Radon Measures
    Otmar Scherzer, Birgit Walch
21. Adaption of the Eikonal Equation over Weighted Graphs
    Vinh-Thong Ta, Aberrahim Elmoataz, Olivier Lézoray
22. Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model
    Xue-Cheng Tai, Chunlin Wu
23. Pre-Image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
    Nicolas Thorstensen, Florent Segonne, Renaud Keriven
24. Image Denoising by Harmonic Mean Curvature Flow
    Mourad Zerai

Abstracts of Invited Talks

In many practical problems in image processing, the observed data sets are often incomplete in the sense that features of interest in the image are missing partially or corrupted by noise. The recovery of missing data from incomplete data is an essential part of any image processing procedures whether the final image is utilized for visual interpretation or for automatic analysis. In this talk, we present our tight-frame algorithm for missing data recovery. We start with an introduction of tight-frames. Then we illustrate how to apply the idea to different image processing applications such as: inpainting, impulse noise removal, super-resolution image reconstruction, and video enhancement. In particular, we show how PDE ideas, such as anisotropic diffusion, can be incorporated into the tight-frame approach. We end by establishing the close relationship of our algorithm with the analysis and synthesis approaches in wavelet deblurring.

Dynamics of Ongoing and Evoked Activity in the Awake and Anesthetized Primate
A. Grinvald & D. B. Omer
Department of Neurobiology, Weizmann Institute of Science, Rehovot, Israel

Previous studies using voltage sensitive dyes imaging (VSDI) carried out on anesthetized cats reported that spontaneous ongoing cortical activity in the primary visual cortex represents dynamic spatial patterns, many of which resembling the functional architecture of orientation domains, and span large cortical areas (Grinvald et al., 1989; Arieli et al., 1995; Arieli et al., 1996; Tsodyks et al., 1999; Kenet et al., 2003; Ringach D.L., 2003). Whether these results are relevant to the awake behaving primate is unknown. Therefore, we preformed VSDI of ongoing cortical activity in the visual cortices of awake simultaneously with measurements of single & multi unit activity and the local-field potential. We found coherent activity also in the awake monkey: a single cell had a tendency to fire when a large population of cells was coherently depolarized as seen in the STAs of the awake monkeys. However, the dynamics was very different form that found in anesthetized cats. To rule out species difference rather anesthetized state we explored the anesthetized monkey and found that the results were similar to the anesthetized cat results. However, in the anesthetized monkey spontaneous cortical activity shows larger repertoire of cortical states; Not surprisingly we found that the two OD maps were also spontaneously represented and to a larger extent than orientation representations. Furthermore, spontaneous cortical states which resemble OD maps tend to switch into their corresponding orthogonal states. We then compared the dynamics found in the anesthetized macaque to that observed in the awake state. The dynamics of ongoing activity in the awake state was significantly different: ongoing activity did not clearly revealed any appearance of the cortical states related to the functional architecture, over a large area. However, more sensitive averaging techniques in space and time revealed cortical states related to orientation and OD maps that are switching rapidly and are spatially mixed. Those results challenge the classical notion which considers spontaneous (ongoing) cortical activity as noise and indeed suggest that ongoing coherent activity play an important role in cortical processing and high cognitive functions. Supported by the Weizmann Institute of Science, Daisy EU grant, the Goldsmith Foundation and Grodetsky Center.

Total Variation Based Approaches in Image Processing
Antonin Chambolle
CMAP - Ecole Polytechnique, France

The Total Variation (TV) has been introduced now almost 20 years ago in image processing, as a useful regularizer for ill-posed inverse problems. It is well-known that it is particularly successful at preserving the edges of the images, and is among the few convex criteria with this feature. I will review a few recent results, first theoretical, about the TV: explicit solutions of the denoising problem in very specific cases, regularity issues, preservation of discontinuities. I will then discuss a few algorithms which seem to perform well for solving the specific, usually convex but singular optimization problems which arise in TV-based variational methods. In particular, for recent applications, duality-based methods seem particularly useful. The last part of my talk will discuss some interesting, recent use of TV-like functionals, for solving quite arbitrary (non convex, but scalar-valued) nonlinear regularization problems in imaging, or partition (multi-labelling) problems.

For more information about the conference, please visit:

www.math.uio.no/conference/ssvm2009/index.html