Scale Space and Variational Methods in Computer Vision : Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings / edited by Xue-Cheng Tai, Knut Morken, Marius Lysaker, Knut-Andreas Lie.

Format:

Book

Contributor:

Tai, Xue-Cheng, editor.

Morken, Knut, editor.

Lysaker, Marius, editor.

Lie, Knut-Andreas, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 5567.

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 5567

Language:

English

Subjects (All):

Optical data processing.

Computer programming.

Data mining.

Computer graphics.

Pattern perception.

Image Processing and Computer Vision.

Programming Techniques.

Data Mining and Knowledge Discovery.

Computer Graphics.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Pattern Recognition.

Local Subjects:

Image Processing and Computer Vision.

Programming Techniques.

Data Mining and Knowledge Discovery.

Computer Graphics.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Pattern Recognition.

Physical Description:

1 online resource (XIV, 870 pages).

Edition:

First edition 2009.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the Second International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2009, emanated from the joint edition of the 5th International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2009 and the 7th International Conference on Scale Space and PDE Methods in Computer Vision, Scale-Space 2009, held in Voss, Norway in June 2009. The 71 revised full papers presented were carefully reviewed and selected numerous submissions. The papers are organized in topical sections on segmentation and detection; image enhancement and reconstruction; motion analysis, optical flow, registration and tracking; surfaces and shapes; scale space and feature extraction.

Contents:

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 for Matrix 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 in Scale Spaces

Transitions of a Multi-scale Image Hierarchy Tree

Local Scale Measure for Remote Sensing Images.

Other Format:

Printed edition:

ISBN:

978-3-642-02256-2

9783642022562

Access Restriction:

Restricted for use by site license.