E-raamat: Scale Space and Variational Methods in Computer Vision: Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings

Segmentation and Detection.- Graph Cut Optimization for the Piecewise
Constant Level Set Method Applied to Multiphase Image Segmentation.- Tubular
Anisotropy Segmentation.- An Unconstrained Multiphase Thresholding Approach
for Image Segmentation.- Extraction of the Intercellular Skeleton from 2D
Images of Embryogenesis Using Eikonal Equation and Advective Subjective
Surface Method.- On Level-Set Type Methods for Recovering Piecewise Constant
Solutions of Ill-Posed Problems.- The Nonlinear Tensor Diffusion in
Segmentation of Meaningful Biological Structures from Image Sequences of
Zebrafish Embryogenesis.- Composed Segmentation of Tubular Structures by an
Anisotropic PDE Model.- Extrapolation of Vector Fields Using the Infinity
Laplacian and with Applications to Image Segmentation.- A Schrödinger
Equation for the Fast Computation of Approximate Euclidean Distance
Functions.- Semi-supervised Segmentation Based on Non-local Continuous
Min-Cut.- Momentum Based Optimization Methods for Level Set Segmentation.-
Optimization of Divergences within the Exponential Family for Image
Segmentation.- Convex Multi-class Image Labeling by Simplex-Constrained Total
Variation.- Geodesically Linked Active Contours: Evolution Strategy Based on
Minimal Paths.- Validation of Watershed Regions by Scale-Space Statistics.-
Adaptation of Eikonal Equation over Weighted Graph.- A Variational Model for
Interactive Shape Prior Segmentation and Real-Time Tracking.- Image
Enhancement and Reconstruction.- A Nonlinear Probabilistic Curvature Motion
Filter for Positron Emission Tomography Images.- Finsler Geometry on Higher
Order Tensor Fields and Applications to High Angular Resolution Diffusion
Imaging.- Bregman-EM-TV Methods with Application to Optical Nanoscopy.-
PDE-Driven Adaptive Morphology forMatrix Fields.- On Semi-implicit Splitting
Schemes for the Beltrami Color Flow.- Multi-scale Total Variation with
Automated Regularization Parameter Selection for Color Image Restoration.-
Multiplicative Noise Cleaning via a Variational Method Involving Curvelet
Coefficients.- Projected Gradient Based Color Image Decomposition.- A Dual
Formulation of the TV-Stokes Algorithm for Image Denoising.- Anisotropic
Regularization for Inverse Problems with Application to the Wiener Filter
with Gaussian and Impulse Noise.- Locally Adaptive Total Variation
Regularization.- Basic Image Features (BIFs) Arising from Approximate
Symmetry Type.- An Anisotropic Fourth-Order Partial Differential Equation for
Noise Removal.- Enhancement of Blurred and Noisy Images Based on an Original
Variant of the Total Variation.- Coarse-to-Fine Image Reconstruction Based on
Weighted Differential Features and Background Gauge Fields.- Edge-Enhanced
Image Reconstruction Using (TV) Total Variation and Bregman Refinement.-
Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or
Impulse Noise.- A Geometric PDE for Interpolation of M-Channel Data.- An
Edge-Preserving Multilevel Method for Deblurring, Denoising, and
Segmentation.- Fast Dejittering for Digital Video Frames.- Sparsity
Regularization for Radon Measures.- Split Bregman Algorithm, Douglas-Rachford
Splitting and Frame Shrinkage.- Anisotropic Smoothing Using Double
Orientations.- Image Denoising Using TV-Stokes Equation with an
Orientation-Matching Minimization.- Augmented Lagrangian Method, Dual Methods
and Split Bregman Iteration for ROF Model.- The Convergence of a
Central-Difference Discretization of Rudin-Osher-Fatemi Model for Image
Denoising.- Theoretical Foundations for Discrete Forward-and-Backward
Diffusion Filtering.- L 0-Norm and Total Variation for Wavelet Inpainting.-
Total-Variation Based Piecewise Affine Regularization.- Image Denoising by
Harmonic Mean Curvature Flow.- Motion Analysis, Optical Flow, Registration
and Tracking.- Tracking Closed Curves with Non-linear Stochastic Filters.- A
Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion
Estimation.- A Combined Segmentation and Registration Framework with a
Nonlinear Elasticity Smoother.- A Scale-Space Approach to Landmark
Constrained Image Registration.- A Variational Approach for Volume-to-Slice
Registration.- Hyperbolic Numerics for Variational Approaches to
Correspondence Problems.- Surfaces and Shapes.- From a Single Point to a
Surface Patch by Growing Minimal Paths.- Optimization of Convex Shapes: An
Approach to Crystal Shape Identification.- An Implicit Method for
Interpolating Two Digital Closed Curves on Parallel Planes.- Pose Invariant
Shape Prior Segmentation Using Continuous Cuts and Gradient Descent on Lie
Groups.- A Non-local Approach to Shape from Ambient Shading.- An Elasticity
Approach to Principal Modes of Shape Variation.- Pre-image as Karcher Mean
Using Diffusion Maps: Application to Shape and Image Denoising.- Fast Shape
from Shading for Phong-Type Surfaces.- Generic Scene Recovery Using Multiple
Images.- Scale Space and Feature Extraction.- Highly Accurate PDE-Based
Morphology for General Structuring Elements.- Computational Geometry-Based
Scale-Space and Modal Image Decomposition.- Highlight on a Feature Extracted
at Fine Scales: The Pointwise Lipschitz Regularity.- Line Enhancement and
Completion via Linear Left Invariant Scale Spaces on SE(2).- Spatio-Featural
Scale-Space.- Scale Spaces on the 3D Euclidean Motion Group for Enhancement
of HARDI Data.- On the Rate of Structural Change inScale Spaces.- Transitions
of a Multi-scale Image Hierarchy Tree.- Local Scale Measure for Remote
Sensing Images.