Scale Space and Variational Methods in Computer Vision

1. Front Matter

   Pages I-XV

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2. Scale Space and PDE Methods

   1. Front Matter

      Pages 1-1

      PDF

   2. Spatio-Temporal Scale Selection in Video Data

      • Tony Lindeberg

      Pages 3-15

   3. Dynamic Texture Recognition Using Time-Causal Spatio-Temporal Scale-Space Filters

      • Ylva Jansson, Tony Lindeberg

      Pages 16-28

   4. Corner Detection Using the Affine Morphological Scale Space

      • Luis Alvarez

      Pages 29-40

   5. Nonlinear Spectral Image Fusion

      • Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa et al.

      Pages 41-53

   6. Tubular Structure Segmentation Based on Heat Diffusion

      • Fang Yang, Laurent D. Cohen

      Pages 54-65

   7. Analytic Existence and Uniqueness Results for PDE-Based Image Reconstruction with the Laplacian

      • Laurent Hoeltgen, Isaac Harris, Michael Breuß, Andreas Kleefeld

      Pages 66-79

   8. Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition

      • Leonie Zeune, Stephan A. van Gils, Leon W. M. M. Terstappen, Christoph Brune

      Pages 80-93

   9. An Efficient and Stable Two-Pixel Scheme for 2D Forward-and-Backward Diffusion

      • Martin Welk, Joachim Weickert

      Pages 94-106

3. Restoration and Reconstruction

   1. Front Matter

      Pages 107-107

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   2. Blind Space-Variant Single-Image Restoration of Defocus Blur

      • Leah Bar, Nir Sochen, Nahum Kiryati

      Pages 109-120

   3. Denoising by Inpainting

      • Robin Dirk Adam, Pascal Peter, Joachim Weickert

      Pages 121-132

   4. Stochastic Image Reconstruction from Local Histograms of Gradient Orientation

      • Agnès Desolneux, Arthur Leclaire

      Pages 133-145

   5. A Dynamic Programming Solution to Bounded Dejittering Problems

      • Lukas F. Lang

      Pages 146-158

   6. Robust Blind Deconvolution with Convolution-Spectrum-Based Kernel Regulariser and Poisson-Noise Data Terms

      • Martin Welk

      Pages 159-171

   7. Optimal Patch Assignment for Statistically Constrained Texture Synthesis

      • Jorge Gutierrez, Julien Rabin, Bruno Galerne, Thomas Hurtut

      Pages 172-183

   8. A Correlation-Based Dissimilarity Measure for Noisy Patches

      • Paul Riot, Andrés Almansa, Yann Gousseau, Florence Tupin

      Pages 184-195

   9. Analysis of a Physically Realistic Film Grain Model, and a Gaussian Film Grain Synthesis Algorithm

      • Alasdair Newson, Noura Faraj, Julie Delon, Bruno Galerne

      Pages 196-207

   10. Below the Surface of the Non-local Bayesian Image Denoising Method

       • Pablo Arias, Mila Nikolova

       Pages 208-220

This book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017. The 55 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: Scale Space and PDE Methods; Restoration and Reconstruction; Tomographic Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D Vision.

• Image analysis
• Computer vision
• PDE
• Scale space
• Variational methods
• Optimization
• Segmentation
• Tomography
• Registration
• Optical flow
• 3D vision
• algorithm analysis and problem complexity

• University of Copenhagen , Copenhagen, Denmark

  François Lauze

• Technical University of Denmark , Kongens Lyngby, Denmark

  Yiqiu Dong, Anders Bjorholm Dahl

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