SSVM07
* *Scale-Space
* 3D Object Recognition by Eigen-Scale-Space of Contours
* Anisotropic alpha-Kernels and Associated Flows
* Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
* Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation
* Best Basis Compressed Sensing
* Blur Invariant Image Priors
* Bounds on the Minimizers of (nonconvex) Regularized Least-Squares
* Combining Curvature Motion and Edge-Preserving Denoising
* Combining Different Types of Scale Space Interest Points Using Canonical Sets
* Consistent Spatio-temporal Motion Estimator for Atmospheric Layers, A
* Convex Inverse Scale Spaces
* Coordinate-Free Diffusion over Compact Lie-Groups
* Counter-Examples for Bayesian MAP Restoration
* Curve Evolution in Subspaces
* Dense Optical Flow Estimation from the Monogenic Curvature Tensor
* Detecting Regions of Dynamic Texture
* Detection and Completion of Filaments: A Vector Field and PDE Approach
* Direct Shape-from-Shading with Adaptive Higher Order Regularisation
* Discrete Regularization on Weighted Graphs for Image and Mesh Filtering
* Efficient Beltrami Filtering of Color Images Via Vector Extrapolation
* Efficient Segmentation of Piecewise Smooth Images
* Faithful Recovery of Vector Valued Functions from Incomplete Data Recolorization and Art Restoration
* Fast and Accurate Gaussian Derivatives Based on B-Splines
* Feature Vector Similarity Based on Local Structure
* Full Affine Wavelets Are Scale-Space with a Twist
* Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework
* Generic Approach to the Filtering of Matrix Fields with Singular PDEs, A
* Generic Maximum Likely Scale Selection
* Geometric Sampling of Manifolds for Image Representation and Processing
* Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces, A
* Geometric-Functional-Based Image Segmentation and Inpainting, A
* High Order Finite Co-volume Scheme for Denoising Using Radial Basis Functions, An
* Histogram Based Segmentation Using Wasserstein Distances
* Identification of Grain Boundary Contours at Atomic Scale
* Iterated Nonlocal Means for Texture Restoration
* Jet Metric, The
* Kullback Leibler Divergence Based Curve Matching Method
* Level Set Methods for Watershed Image Segmentation
* Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
* Maximum Likelihood Metameres for Local 2nd Order Image Structure of Natural Images
* Method for the Transport and Registration of Images on Implicit Surfaces, A
* Modeling Foveal Vision
* Motion Compensated Video Super Resolution
* Mumford-Shah Regularizer with Spatial Coherence
* New Possibilities with Sobolev Active Contours
* Non-negative Sparse Modeling of Textures
* Nonconvex Model to Remove Multiplicative Noise, A
* Nonlinear Diffusion on the 2D Euclidean Motion Group
* Numerical Invariantization for Morphological PDE Schemes
* On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
* Paretian Similarity for Partial Comparison of Non-rigid Objects
* Piecewise Constant Level Set Method for 3D Image Segmentation
* Region Based Image Segmentation Using a Modified Mumford-Shah Algorithm
* Restoration of Images with Piecewise Space-Variant Blur
* Riemannian Curvature-Driven Flows for Tensor-Valued Data
* Salient Regions from Scale-Space Trees
* Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
* Scale Spaces on Lie Groups
* Scale-Space Clustering with Recursive Validation
* Scale-Space Reeb-Graph of Topological Invariants of Images and Its Applications to Content Identification, A
* Segmentation Under Occlusions Using Selective Shape Prior
* Solving the Chan-Vese Model by a Multiphase Level Set Algorithm Based on the Topological Derivative
* Some Remarks on Perspective Shape-from-Shading Models
* Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions
* Spatio-temporal Scale-Spaces
* Super-Resolution Using Sub-band Constrained Total Variation
* Texture Synthesis and Modification with a Patch-Valued Wavelet Transform
* Total Variation Minimization and Graph Cuts for Moving Objects Segmentation
* Towards Segmentation Based on a Shape Prior Manifold
* TV-Stokes Denoising Algorithm, A
* Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising
* Variational Approach for 3D Motion Estimation of Incompressible PIV Flows, A
* Variational Approach for Multi-valued Velocity Field Estimation in Transparent Sequences, A
* Variational Framework for Adaptive Satellite Images Segmentation, A
* Variational Framework for Spatio-temporal Smoothing of Fluid Motions, A
* Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences, A
* Variational Method with a Noise Detector for Impulse Noise Removal, A
* Variational Origin of Motion by Gaussian Curvature, The
* Vector-Valued Image Interpolation by an Anisotropic Diffusion-Projection PDE
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SSVM09
* *Scale-Space
* Adaptation of Eikonal Equation over Weighted Graph
* Anisotropic Fourth-Order Partial Differential Equation for Noise Removal, An
* Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise
* Anisotropic Smoothing Using Double Orientations
* Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model
* Basic Image Features (BIFs) Arising from Approximate Symmetry Type
* Bregman-EM-TV Methods with Application to Optical Nanoscopy
* Coarse-to-Fine Image Reconstruction Based on Weighted Differential Features and Background Gauge Fields
* Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother, A
* Composed Segmentation of Tubular Structures by an Anisotropic PDE Model
* Computational Geometry-Based Scale-Space and Modal Image Decomposition Application to Light Video-Microscopy Imaging
* Convergence of a Central-Difference Discretization of Rudin-Osher-Fatemi Model for Image Denoising, The
* Convex Multi-class Image Labeling by Simplex-Constrained Total Variation
* Dual Formulation of the TV-Stokes Algorithm for Image Denoising, A
* Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement
* Edge-Preserving Multilevel Method for Deblurring, Denoising, and Segmentation, An
* Elasticity Approach to Principal Modes of Shape Variation, An
* Enhancement of Blurred and Noisy Images Based on an Original Variant of the Total Variation
* Extraction of the Intercellular Skeleton from 2D Images of Embryogenesis Using Eikonal Equation and Advective Subjective Surface Method
* Extrapolation of Vector Fields Using the Infinity Laplacian and with Applications to Image Segmentation
* Fast Dejittering for Digital Video Frames
* Fast Shape from Shading for Phong-Type Surfaces
* Finsler Geometry on Higher Order Tensor Fields and Applications to High Angular Resolution Diffusion Imaging
* From a Single Point to a Surface Patch by Growing Minimal Paths
* Generic Scene Recovery Using Multiple Images
* Geodesically Linked Active Contours: Evolution Strategy Based on Minimal Paths
* Geometric PDE for Interpolation of M-Channel Data, A
* Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image Segmentation
* Highlight on a Feature Extracted at Fine Scales: The Pointwise Lipschitz Regularity
* Highly Accurate PDE-Based Morphology for General Structuring Elements
* Hyperbolic Numerics for Variational Approaches to Correspondence Problems
* Image Denoising by Harmonic Mean Curvature Flow
* Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization
* Implicit Method for Interpolating Two Digital Closed Curves on Parallel Planes, An
* L0-Norm and Total Variation for Wavelet Inpainting
* Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2)
* Local Scale Measure for Remote Sensing Images
* Locally Adaptive Total Variation Regularization
* Momentum Based Optimization Methods for Level Set Segmentation
* Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation, A
* Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration
* Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients
* Non-local Approach to Shape from Ambient Shading, A
* Nonlinear Probabilistic Curvature Motion Filter for Positron Emission Tomography Images, A
* Nonlinear Tensor Diffusion in Segmentation of Meaningful Biological Structures from Image Sequences of Zebrafish Embryogenesis, The
* Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise
* On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems
* On Semi-implicit Splitting Schemes for the Beltrami Color Flow
* On the Rate of Structural Change in Scale Spaces
* Optimization of Convex Shapes: An Approach to Crystal Shape Identification
* Optimization of Divergences within the Exponential Family for Image Segmentation
* PDE-Driven Adaptive Morphology for Matrix Fields
* Pose Invariant Shape Prior Segmentation Using Continuous Cuts and Gradient Descent on Lie Groups
* Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
* Projected Gradient Based Color Image Decomposition
* Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data
* Scale-Space Approach to Landmark Constrained Image Registration, A
* Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions, A
* Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
* Sparsity Regularization for Radon Measures
* Spatio-Featural Scale-Space
* Split Bregman Algorithm, Douglas-Rachford Splitting and Frame Shrinkage
* Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering
* Total-Variation Based Piecewise Affine Regularization
* Tracking Closed Curves with Non-linear Stochastic Filters
* Transitions of a Multi-scale Image Hierarchy Tree
* Tubular Anisotropy Segmentation
* Unconstrained Multiphase Thresholding Approach for Image Segmentation, An
* Validation of Watershed Regions by Scale-Space Statistics
* Variational Approach for Volume-to-Slice Registration, A
* Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking, A
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