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Scale Space and Variational Methods in Computer Vision : Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 – June 2, 2011, Revised Selected Papers

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Cover of 'Scale Space and Variational Methods in Computer Vision : Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 – June 2, 2011, Revised Selected Papers'

Table of Contents

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    Book Overview
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    Chapter 1 Fiber Enhancement in Diffusion-Weighted MRI
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    Chapter 2 Numerical Schemes for Linear and Non-linear Enhancement of DW-MRI
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    Chapter 3 Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting
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    Chapter 4 Nonlocal Surface Fairing
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    Chapter 5 Nonlocal Filters for Removing Multiplicative Noise
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    Chapter 6 Volumetric Nonlinear Anisotropic Diffusion on GPUs
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    Chapter 7 A Statistical Multiresolution Strategy for Image Reconstruction
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    Chapter 8 A Variational Approach for Exact Histogram Specification
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    Chapter 9 Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy
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    Chapter 10 Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization
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    Chapter 11 A study on convex optimization approaches to image fusion
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    Chapter 12 Efficient Beltrami Flow in Patch-Space
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    Chapter 13 A Fast Augmented Lagrangian Method for Euler’s Elastica Model
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    Chapter 14 Deblurring Space-Variant Blur by Adding Noisy Image
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    Chapter 15 Fast Algorithms for p-elastica Energy with the Application to Image Inpainting and Curve Reconstruction
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    Chapter 16 The Beltrami-Mumford-Shah Functional
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    Chapter 17 An Adaptive Norm Algorithm for Image Restoration
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    Chapter 18 Scale Space and Variational Methods in Computer Vision
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    Chapter 19 Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization
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    Chapter 20 Anisotropic Non-Local Means with Spatially Adaptive Patch Shapes
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    Chapter 21 Entropy-Scale Profiles for Texture Segmentation
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    Chapter 22 Non-local Active Contours
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    Chapter 23 From a Modified Ambrosio-Tortorelli to a Randomized Part Hierarchy Tree
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    Chapter 24 A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior
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    Chapter 25 Robust Edge Detection Using Mumford-Shah Model and Binary Level Set Method
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    Chapter 26 Bifurcation of Segment Edge Curves in Scale Space
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    Chapter 27 Efficient Minimization of the Non-local Potts Model
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    Chapter 28 Sulci Detection in Photos of the Human Cortex Based on Learned Discriminative Dictionaries
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    Chapter 29 An Efficient and Effective Tool for Image Segmentation, Total Variations and Regularization
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    Chapter 30 Supervised Scale-Invariant Segmentation (and Detection)
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    Chapter 31 A Geodesic Voting Shape Prior to Constrain the Level Set Evolution for the Segmentation of Tubular Trees
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    Chapter 32 Amoeba Active Contours
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    Chapter 33 A Hybrid Scheme for Contour Detection and Completion Based on Topological Gradient and Fast Marching Algorithms - Application to Inpainting and Segmentation
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    Chapter 34 A Segmentation Quality Measure Based on Rich Descriptors and Classification Methods
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    Chapter 35 Framelet-Based Algorithm for Segmentation of Tubular Structures
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    Chapter 36 Weakly Convex Coupling Continuous Cuts and Shape Priors
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    Chapter 37 Wasserstein Barycenter and Its Application to Texture Mixing
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    Chapter 38 Theoretical Foundations of Gaussian Convolution by Extended Box Filtering
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    Chapter 39 From High Definition Image to Low Space Optimization
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    Chapter 40 Measuring Geodesic Distances via the Uniformization Theorem
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    Chapter 41 Polyakov Action on (ρ,G)-Equivariant Functions Application to Color Image Regularization
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    Chapter 42 Curvature Minimization for Surface Reconstruction with Features
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    Chapter 43 Should We Search for a Global Minimizer of Least Squares Regularized with an ℓ0 Penalty to Get the Exact Solution of an under Determined Linear System?
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    Chapter 44 Weak Statistical Constraints for Variational Stereo Imaging of Oceanic Waves
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    Chapter 45 Novel Schemes for Hyperbolic PDEs Using Osmosis Filters from Visual Computing
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    Chapter 46 Fast PDE-Based Image Analysis in Your Pocket
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    Chapter 47 A Sampling Theorem for a 2D Surface
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    Chapter 48 Quadrature Nodes Meet Stippling Dots
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    Chapter 49 Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching
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    Chapter 50 A Correspondence-Less Approach to Matching of Deformable Shapes
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    Chapter 51 Hierarchical Matching of Non-rigid Shapes
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    Chapter 52 Photometric Heat Kernel Signatures
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    Chapter 53 Human Activity Modeling as Brownian Motion on Shape Manifold
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    Chapter 54 3D Curve Evolution Algorithm with Tangential Redistribution for a Fully Automatic Finding of an Ideal Camera Path in Virtual Colonoscopy
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    Chapter 55 Distance Images and Intermediate-Level Vision
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    Chapter 56 Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes
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    Chapter 57 Kernel Bundle EPDiff: Evolution Equations for Multi-scale Diffeomorphic Image Registration
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    Chapter 58 Deformable Shape Retrieval by Learning Diffusion Kernels
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    Chapter 59 Stochastic Models for Local Optical Flow Estimation
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    Chapter 60 Optic Flow Scale Space
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    Chapter 61 Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes
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    Chapter 62 Wavelet-Based Fluid Motion Estimation
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    Chapter 63 Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation
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    Chapter 64 Over-Parameterized Optical Flow Using a Stereoscopic Constraint
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    Chapter 65 Robust Optic-Flow Estimation with Bayesian Inference of Model and Hyper-parameters
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    Chapter 66 Regularization of Positive Definite Matrix Fields Based on Multiplicative Calculus
Overall attention for this book and its chapters
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Title
Scale Space and Variational Methods in Computer Vision : Third International Conference, SSVM 2011, Ein-Gedi, Israel, May 29 – June 2, 2011, Revised Selected Papers
Published by
Springer, Berlin, Heidelberg, January 2011
DOI 10.1007/978-3-642-24785-9
ISBNs
978-3-64-224784-2, 978-3-64-224785-9
Authors

Bruckstein, Alfred M, Haar Romeny, Bart M, Bronstein, Alexander M, Bronstein, Michael M

Editors

Alfred M. Bruckstein, Bart M. ter Haar Romeny, Alexander M. Bronstein, Michael M. Bronstein

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 <1%
Researcher 1 <1%
Unknown 109 98%
Readers by discipline Count As %
Mathematics 1 <1%
Engineering 1 <1%
Unknown 109 98%