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Scale Space and Variational Methods in Computer Vision

8th International Conference, SSVM 2021, Virtual Event, May 16–20, 2021, Proceedings

Conference proceedings info: SSVM 2021.

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Table of contents (45 papers)

  1. Front Matter

    Pages i-xiv
  2. Scale Space and Partial Differential Equations Methods

    1. Front Matter

      Pages 1-1
    2. Quantisation Scale-Spaces

      • Pascal Peter
      Pages 15-26
    3. Total-Variation Mode Decomposition

      • Ido Cohen, Tom Berkov, Guy Gilboa
      Pages 52-64
    4. Local Culprits of Shape Complexity

      • Mazlum Ferhat Arslan, Sibel Tari
      Pages 91-99
    5. Extension of Mathematical Morphology in Riemannian Spaces

      • El Hadji S. Diop, Alioune Mbengue, Bakary Manga, Diaraf Seck
      Pages 100-111
  3. Flow, Motion and Registration

    1. Front Matter

      Pages 113-113
    2. Multiscale Registration

      • Noémie Debroux, Carole Le Guyader, Luminita A. Vese
      Pages 115-127
    3. Challenges for Optical Flow Estimates in Elastography

      • Ekaterina Sherina, Lisa Krainz, Simon Hubmer, Wolfgang Drexler, Otmar Scherzer
      Pages 128-139
    4. An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation

      • Lukas Mehl, Cedric Beschle, Andrea Barth, Andrés Bruhn
      Pages 140-152
    5. Low-Rank Registration of Images Captured Under Unknown, Varying Lighting

      • Matthieu Pizenberg, Yvain Quéau, Abderrahim Elmoataz
      Pages 153-164
    6. Towards Efficient Time Stepping for Numerical Shape Correspondence

      • Alexander Köhler, Michael Breuß
      Pages 165-176
    7. First Order Locally Orderless Registration

      • Sune Darkner, José D. T. Vidarte, François Lauze
      Pages 177-188
  4. Optimization Theory and Methods in Imaging

    1. Front Matter

      Pages 189-189
    2. First-Order Geometric Multilevel Optimization for Discrete Tomography

      • Jan Plier, Fabrizio Savarino, Michal Kočvara, Stefania Petra
      Pages 191-203

Other Volumes

  1. Scale Space and Variational Methods in Computer Vision

    8th International Conference, SSVM 2021, Virtual Event, May 16–20, 2021, Proceedings

About this book

This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place in Cabourg, France, but changed to an online format due to the COVID-19 pandemic.

The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging. 

Keywords

  • communication systems
  • computer networks
  • computer vision
  • correlation analysis
  • image analysis
  • image processing
  • image quality
  • image reconstruction
  • image segmentation
  • inverse problems
  • machine learning
  • mathematical imaging
  • numerical methods
  • optimization
  • partial differential equations
  • pattern recognition
  • scale space
  • scale-space
  • signal processing
  • variational methods

Editors and Affiliations

  • UNICAEN, GREYC – Normandy University, Caen, France

    Abderrahim Elmoataz, Julien Rabin

  • ENSICAEN, GREYC – Normandy University, Caen, France

    Jalal Fadili, Loïc Simon

  • CNRS, GREYC – Normandy University, Caen, France

    Yvain Quéau

Bibliographic Information

Buying options

eBook USD 89.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-75549-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 119.99
Price excludes VAT (USA)