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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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  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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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.

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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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Other volumes

  1. Scale Space and Variational Methods in Computer Vision

Editors and Affiliations

  • University of Bordeaux, Talence, France

    Jean-François Aujol, Nicolas Papadakis

  • ENS Cachan, Cachan, France

    Mila Nikolova

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