Oral Presentations -- Full Affine Wavelets Are Scale-Space with a Twist -- Iterated Nonlocal Means for Texture Restoration -- The Jet Metric -- Scale Selection for Compact Scale-Space Representation of Vector-Valued Images -- An High Order Finite Co-volume Scheme for Denoising Using Radial Basis Functions -- Linear Image Reconstruction by Sobolev Norms on the Bounded Domain -- A Nonconvex Model to Remove Multiplicative Noise -- Best Basis Compressed Sensing -- Efficient Beltrami Filtering of Color Images Via Vector Extrapolation -- Vector-Valued Image Interpolation by an Anisotropic Diffusion-Projection PDE -- Faithful Recovery of Vector Valued Functions from Incomplete Data -- Discrete Regularization on Weighted Graphs for Image and Mesh Filtering -- Counter-Examples for Bayesian MAP Restoration -- New Possibilities with Sobolev Active Contours -- A Geometric-Functional-Based Image Segmentation and Inpainting -- Level Set Methods for Watershed Image Segmentation -- Segmentation Under Occlusions Using Selective Shape Prior -- On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional -- Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework -- A Variational Approach for Multi-valued Velocity Field Estimation in Transparent Sequences -- Dense Optical Flow Estimation from the Monogenic Curvature Tensor -- A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers -- Paretian Similarity for Partial Comparison of Non-rigid Objects -- Some Remarks on Perspective Shape-from-Shading Models -- Poster Presentations -- Scale-Space Clustering with Recursive Validation -- Scale Spaces on Lie Groups -- Convex Inverse Scale Spaces -- Spatio-temporal Scale-Spaces -- A Scale-Space Reeb-Graph of Topological Invariants of Images and Its Applications to Content Identification -- Salient Regions from Scale-Space Trees -- Generic Maximum Likely Scale Selection -- Combining Different Types of Scale Space Interest Points Using Canonical Sets -- Feature Vector Similarity Based on Local Structure -- Maximum Likelihood Metameres for Local 2 nd Order Image Structure of Natural Images -- Fast and Accurate Gaussian Derivatives Based on B-Splines -- Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising -- The Variational Origin of Motion by Gaussian Curvature -- A Variational Method with a Noise Detector for Impulse Noise Removal -- Detection and Completion of Filaments: A Vector Field and PDE Approach -- Nonlinear Diffusion on the 2D Euclidean Motion Group -- A TV-Stokes Denoising Algorithm -- Anisotropic ?-Kernels and Associated Flows -- Bounds on the Minimizers of (nonconvex) Regularized Least-Squares -- Numerical Invariantization for Morphological PDE Schemes -- Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal -- Restoration of Images with Piecewise Space-Variant Blur -- Mumford-Shah Regularizer with Spatial Coherence -- A Generic Approach to the Filtering of Matrix Fields with Singular PDEs -- Combining Curvature Motion and Edge-Preserving Denoising -- Coordinate-Free Diffusion over Compact Lie-Groups -- Riemannian Curvature-Driven Flows for Tensor-Valued Data -- A Variational Framework for Spatio-temporal Smoothing of Fluid Motions -- Super-Resolution Using Sub-band Constrained Total Variation -- Non-negative Sparse Modeling of Textures -- Texture Synthesis and Modification with a Patch-Valued Wavelet Transform -- A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences -- Blur Invariant Image Priors -- A Variational Framework for Adaptive Satellite Images Segmentation -- Piecewise Constant Level Set Method for 3D Image Segmentation -- Histogram Based Segmentation Using Wasserstein Distances -- Efficient Segmentation of Piecewise Smooth Images -- Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions -- Region Based Image Segmentation Using a Modified Mumford-Shah Algorithm -- Total Variation Minimization and Graph Cuts for Moving Objects Segmentation -- Curve Evolution in Subspaces -- Identification of Grain Boundary Contours at Atomic Scale -- Solving the Chan-Vese Model by a Multiphase Level Set Algorithm Based on the Topological Derivative -- A Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces -- Motion Compensated Video Super Resolution -- Kullback Leibler Divergence Based Curve Matching Method -- Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation -- A Variational Approach for 3D Motion Estimation of Incompressible PIV Flows -- Detecting Regions of Dynamic Texture -- A Method for the Transport and Registration of Images on Implicit Surfaces -- Direct Shape-from-Shading with Adaptive Higher Order Regularisation -- 3D Object Recognition by Eigen-Scale-Space of Contours -- Towards Segmentation Based on a Shape Prior Manifold -- Geometric Sampling of Manifolds for Image Representation and Processing -- Modeling Foveal Vision.