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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

  • Jean-François Aujol
  • Mila Nikolova
  • Nicolas Papadakis
Conference proceedings SSVM 2015

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

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 9087)

Table of contents

  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
      PDF
    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
    10. Artifact-Free Variational MPEG Decompression
      Kristian Bredies, Martin Holler
      Pages 216-228

  4. Segmentation and Partitioning

    1. Front Matter
      Pages 229-229
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    2. Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts
      Jörg Hendrik Kappes, Paul Swoboda, Bogdan Savchynskyy, Tamir Hazan, Christoph Schnörr
      Pages 231-242
    3. Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation
      Caner Hazırbaş, Julia Diebold, Daniel Cremers
      Pages 243-255
    4. Convex Color Image Segmentation with Optimal Transport Distances
      Julien Rabin, Nicolas Papadakis
      Pages 256-269
    5. Piecewise Geodesics for Vessel Centerline Extraction and Boundary Delineation with Application to Retina Segmentation
      Da Chen, Laurent D. Cohen
      Pages 270-281
    6. Unsupervised Learning Using the Tensor Voting Graph
      Shay Deutsch, Gérard Medioni
      Pages 282-293
    7. Interactive Multi-label Segmentation of RGB-D Images
      Julia Diebold, Nikolaus Demmel, Caner Hazırbaş, Michael Moeller, Daniel Cremers
      Pages 294-306
    8. Fast Minimization of Region-Based Active Contours Using the Shape Hessian of the Energy
      Günay Doğan
      Pages 307-319

  5. Flow, Motion and Registration

    1. Front Matter
      Pages 321-321
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    2. Sparse Aggregation Framework for Optical Flow Estimation
      Denis Fortun, Patrick Bouthemy, Charles Kervrann
      Pages 323-334
    3. An image registration framework for sliding motion with piecewise smooth deformations
      Stefan Heldmann, Thomas Polzin, Alexander Derksen, Benjamin Berkels
      Pages 335-347
    4. Nonlocal Joint Segmentation Registration Model
      Solène Ozeré, Carole Le Guyader
      Pages 348-359
    5. Deformable Image Registration with Automatic Non-Correspondence Detection
      Kanglin Chen, Alexander Derksen, Stefan Heldmann, Marc Hallmann, Benjamin Berkels
      Pages 360-371
    6. Bézier Curves in the Space of Images
      Alexander Effland, Martin Rumpf, Stefan Simon, Kirsten Stahn, Benedikt Wirth
      Pages 372-384
    7. Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-Type Functionals
      Frank Balle, Dietmar Eifler, Jan Henrik Fitschen, Sebastian Schuff, Gabriele Steidl
      Pages 385-396
    8. Second Order Minimum Energy Filtering on \({\text {SE}}_{3}\) with Nonlinear Measurement Equations
      Johannes Berger, Andreas Neufeld, Florian Becker, Frank Lenzen, Christoph Schnörr
      Pages 397-409

  6. Photography, Texture and Color Processing

    1. Front Matter
      Pages 411-411
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    2. Luminance-Hue Specification in the RGB Space
      Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta
      Pages 413-424
    3. Variational Exposure Fusion with Optimal Local Contrast
      David Hafner, Joachim Weickert
      Pages 425-436
    4. A Variational Model for Color Assignment
      Jan Henrik Fitschen, Mila Nikolova, Fabien Pierre, Gabriele Steidl
      Pages 437-448
    5. Duality Principle for Image Regularization and Perceptual Color Correction Models
      Thomas Batard, Marcelo Bertalmío
      Pages 449-460
    6. PDE-Based Color Morphology Using Matrix Fields
      Ali Sharifi Boroujerdi, Michael Breuß, Bernhard Burgeth, Andreas Kleefeld
      Pages 461-473
    7. Conditional Gaussian Models for Texture Synthesis
      Lara Raad, Agnès Desolneux, Jean-Michel Morel
      Pages 474-485
    8. Multiscale Texture Orientation Analysis Using Spectral Total-Variation Decomposition
      Dikla Horesh, Guy Gilboa
      Pages 486-497
    9. A \(L^1\)-TV Algorithm for Robust Perspective Photometric Stereo with Spatially-Varying Lightings
      Yvain Quéau, François Lauze, Jean-Denis Durou
      Pages 498-510

  7. Shape, Surface and 3D Problems

    1. Front Matter
      Pages 511-511
      PDF
    2. Discrete Varifolds: A Unified Framework for Discrete Approximations of Surfaces and Mean Curvature
      B. Buet, G. P. Leonardi, S. Masnou
      Pages 513-524
    3. Robust Poisson Surface Reconstruction
      Virginia Estellers, Michael Scott, Kevin Tew, Stefano Soatto
      Pages 525-537
    4. Variational Perspective Shape from Shading
      Yong Chul Ju, Andrés Bruhn, Michael Breuß
      Pages 538-550

About these proceedings

Introduction

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.

Keywords

Computer graphics Computer vision Computer vision problems Contextual enhancement Feature selection Image processing Image segmentation Lie groups Mathematical optimization Minimal surface problem MPEG decompression Nonlinear eigenfunctions Partial differential equations Registration Semantic scene understanding Shape modeling Spectral total variation Surface approximation Texture synthesis Variational methods

Editors and affiliations

  • Jean-François Aujol
    • 1
  • Mila Nikolova
    • 2
  • Nicolas Papadakis
    • 3
  1. 1.University of BordeauxTalenceFrance
  2. 2.ENS CachanCachanFrance
  3. 3.University of BordeauxTalenceFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-18461-6
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-18460-9
  • Online ISBN 978-3-319-18461-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site