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Scale Space and Variational Methods in Computer Vision

4th International Conference, SSVM 2013, Schloss Seggau, Graz, Austria, June 2-6, 2013, Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Arjan Kuijper

    1. Fraunhofer Gesellschaft, Institut für Graphische Datenverarbeitung, Darmstadt, Germany

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  2. Kristian Bredies

    1. Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria

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  3. Thomas Pock

    1. Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria

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  4. Horst Bischof

    1. Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria

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  • Fast-track conference proceedings
  • Conference proceedings for SSVM 2013

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7893)

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

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Conference proceedings info: SSVM 2013.

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About this book

This book constitutes the refereed proceedings of the 4th International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2013, held in Schloss Seggau near Graz, Austria, in June 2013. The 42 revised full papers presented were carefully reviewed and selected 69 submissions. The papers are organized in topical sections on image denoising and restoration, image enhancement and texture synthesis, optical flow and 3D reconstruction, scale space and partial differential equations, image and shape analysis, and segmentation.

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Table of contents (42 papers)

  1. Front Matter

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  2. Image Denoising and Restoration

    1. Targeted Iterative Filtering

      • Freddie Åström, Michael Felsberg, George Baravdish, Claes Lundström
      Pages 1-11

    2. Generalized Gradient on Vector Bundle – Application to Image Denoising

      • Thomas Batard, Marcelo Bertalmío
      Pages 12-23

    3. Expert Regularizers for Task Specific Processing

      • Guy Gilboa
      Pages 24-35

    4. A Spectral Approach to Total Variation

      • Guy Gilboa
      Pages 36-47

    5. Convex Generalizations of Total Variation Based on the Structure Tensor with Applications to Inverse Problems

      • Stamatios Lefkimmiatis, Anastasios Roussos, Michael Unser, Petros Maragos
      Pages 48-60

    6. Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities

      • Frank Lenzen, Florian Becker, Jan Lellmann
      Pages 61-73

    7. Variational Methods for Motion Deblurring with Still Background

      • Eileen Laue, Dirk A. Lorenz
      Pages 74-85

    8. Blind Deblurring Using a Simplified Sharpness Index

      • Arthur Leclaire, Lionel Moisan
      Pages 86-97

    9. A Cascadic Alternating Krylov Subspace Image Restoration Method

      • Serena Morigi, Lothar Reichel, Fiorella Sgallari
      Pages 98-109

    10. B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems

      • Stefania Petra, Christoph Schnörr, Florian Becker, Frank Lenzen
      Pages 110-124

    11. Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems

      • Stanislav Harizanov, Jean-Christophe Pesquet, Gabriele Steidl
      Pages 125-136

  3. Image Enhancement and Texture Synthesis

    1. Static and Dynamic Texture Mixing Using Optimal Transport

      • Sira Ferradans, Gui-Song Xia, Gabriel Peyré, Jean-François Aujol
      Pages 137-148

    2. A TGV Regularized Wavelet Based Zooming Model

      • Kristian Bredies, Martin Holler
      Pages 149-160

    3. Anisotropic Third-Order Regularization for Sparse Digital Elevation Models

      • Jan Lellmann, Jean-Michel Morel, Carola-Bibiane Schönlieb
      Pages 161-173

    4. A Fast Algorithm for Exact Histogram Specification. Simple Extension to Colour Images

      • Mila Nikolova
      Pages 174-185

    5. Constrained Sparse Texture Synthesis

      • Guillaume Tartavel, Yann Gousseau, Gabriel Peyré
      Pages 186-197

    6. Outlier Removal Power of the L1-Norm Super-Resolution

      • Yann Traonmilin, Saïd Ladjal, Andrés Almansa
      Pages 198-209

  4. Optical Flow and 3D Reconstruction

    1. Why Is the Census Transform Good for Robust Optic Flow Computation?

      • David Hafner, Oliver Demetz, Joachim Weickert
      Pages 210-221

    2. Generalised Perspective Shape from Shading in Spherical Coordinates

      • Silvano Galliani, Yong Chul Ju, Michael Breuß, Andrés Bruhn
      Pages 222-233
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Other volumes

  1. Scale Space and Variational Methods in Computer Vision

Editors and Affiliations

  • Fraunhofer Gesellschaft, Institut für Graphische Datenverarbeitung, Darmstadt, Germany

    Arjan Kuijper

  • Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria

    Kristian Bredies

  • Institute for Computer Graphics and Vision, Graz University of Technology, Graz, Austria

    Thomas Pock, Horst Bischof

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