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  • Conference proceedings
  • © 2015

Scale Space and Variational Methods in Computer Vision

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

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)

Conference series link(s): SSVM: International Conference on Scale Space and Variational Methods in Computer Vision

Conference proceedings info: SSVM 2015.

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Table of contents (56 papers)

  1. Denoising, Restoration and Reconstruction

    1. Artifact-Free Variational MPEG Decompression

      • Kristian Bredies, Martin Holler
      Pages 216-228

  2. Segmentation and Partitioning

    1. Front Matter

      Pages 229-229
      PDF

    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

    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

  3. Flow, Motion and Registration

    1. Front Matter

      Pages 321-321
      PDF

    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

  4. Photography, Texture and Color Processing

    1. Front Matter

      Pages 411-411
      PDF

    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
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  1. Scale Space and Variational Methods in Computer Vision

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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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Keywords

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Editors and Affiliations

  • University of Bordeaux, Talence, France

    Jean-François Aujol, Nicolas Papadakis

  • ENS Cachan, Cachan, France

    Mila Nikolova

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Bibliographic Information

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Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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