Scale Space and Variational Methods in Computer Vision

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 forAdaptive 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 M