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Scale Space and Variational Methods in Computer Vision

5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Jean-François Aujol

    1. University of Bordeaux, Talence, France

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  2. Mila Nikolova

    1. ENS Cachan, Cachan, France

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    You can also search for this editor in PubMed   Google Scholar

  3. Nicolas Papadakis

    1. University of Bordeaux, Talence, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9087)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: SSVM 2015.

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Table of contents (56 papers)

  1. Front Matter

    Pages I-XV
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  2. Scale Space and Partial Differential Equations Methods

    1. Front Matter

      Pages 1-1
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    2. Scale-Space Theory for Auditory Signals

      • Tony Lindeberg, Anders Friberg
      Pages 3-15

    3. Spectral Representations of One-Homogeneous Functionals

      • Martin Burger, Lina Eckardt, Guy Gilboa, Michael Moeller
      Pages 16-27

    4. The Morphological Equivalents of Relativistic and Alpha-Scale-Spaces

      • Martin Schmidt, Joachim Weickert
      Pages 28-39

    5. New Approximation of a Scale Space Kernel on SE(3) and Applications in Neuroimaging

      • Jorg Portegies, Gonzalo Sanguinetti, Stephan Meesters, Remco Duits
      Pages 40-52

    6. Partial Differential Equations of Bivariate Median Filters

      • Martin Welk
      Pages 53-65

    7. Fundamentals of Non-Local Total Variation Spectral Theory

      • Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
      Pages 66-77

    8. Morphological Scale-Space Operators for Images Supported on Point Clouds

      • Jesús Angulo
      Pages 78-89

    9. Separable Time-Causal and Time-Recursive Spatio-Temporal Receptive Fields

      • Tony Lindeberg
      Pages 90-102

    10. A Linear Scale-Space Theory for Continuous Nonlocal Evolutions

      • Giovanno Marcelo Cárdenas, Joachim Weickert, Sarah Schäffer
      Pages 103-114

  3. Denoising, Restoration and Reconstruction

    1. Front Matter

      Pages 115-115
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    2. Bilevel Image Denoising Using Gaussianity Tests

      • Jérôme Fehrenbach, Mila Nikolova, Gabriele Steidl, Pierre Weiss
      Pages 117-128

    3. On Debiasing Restoration Algorithms: Applications to Total-Variation and Nonlocal-Means

      • Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon
      Pages 129-141

    4. Cartoon-Texture-Noise Decomposition with Transport Norms

      • Christoph Brauer, Dirk Lorenz
      Pages 142-153

    5. Compressing Images with Diffusion- and Exemplar-Based Inpainting

      • Pascal Peter, Joachim Weickert
      Pages 154-165

    6. Some Nonlocal Filters Formulation Using Functional Rearrangements

      • Gonzalo Galiano, Julián Velasco
      Pages 166-177

    7. Total Variation Restoration of Images Corrupted by Poisson Noise with Iterated Conditional Expectations

      • Rémy Abergel, Cécile Louchet, Lionel Moisan, Tieyong Zeng
      Pages 178-190

    8. Regularization with Sparse Vector Fields: From Image Compression to TV-type Reconstruction

      • Eva-Maria Brinkmann, Martin Burger, Joana Grah
      Pages 191-202

    9. Solution-Driven Adaptive Total Variation Regularization

      • Frank Lenzen, Johannes Berger
      Pages 203-215
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  1. Scale Space and Variational Methods in Computer Vision

Keywords

About this book

This book constitutes the refereed proceedings of the 5th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2015, held in Lège-Cap Ferret, France, in May 2015. The 56 revised full papers presented were carefully reviewed and selected from 83 submissions. The papers are organized in the following topical sections: scale space and partial differential equation methods; denoising, restoration and reconstruction, segmentation and partitioning; flow, motion and registration; photography, texture and color processing; shape, surface and 3D problems; and optimization theory and methods in imaging.

Editors and Affiliations

  • University of Bordeaux, Talence, France

    Jean-François Aujol, Nicolas Papadakis

  • ENS Cachan, Cachan, France

    Mila Nikolova

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