Skip to main content
SpringerLink
Log in

Scale Space and Variational Methods in Computer Vision

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

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Abderrahim Elmoataz

    1. UNICAEN, GREYC – Normandy University, Caen, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Jalal Fadili

    1. ENSICAEN, GREYC – Normandy University, Caen, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Yvain Quéau

    1. CNRS, GREYC – Normandy University, Caen, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Julien Rabin

    1. UNICAEN, GREYC – Normandy University, Caen, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Loïc Simon

    1. ENSICAEN, GREYC – Normandy University, Caen, France

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12679)

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 2021.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and 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

Licence this eBook for your library

Institutional subscriptions

Table of contents (45 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Scale Space and Partial Differential Equations Methods

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Scale-Covariant and Scale-Invariant Gaussian Derivative Networks

      • Tony Lindeberg
      Pages 3-14

    3. Quantisation Scale-Spaces

      • Pascal Peter
      Pages 15-26

    4. Equivariant Deep Learning via Morphological and Linear Scale Space PDEs on the Space of Positions and Orientations

      • Remco Duits, Bart Smets, Erik Bekkers, Jim Portegies
      Pages 27-39

    5. Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows

      • Jonathan Brokman, Guy Gilboa
      Pages 40-51

    6. Total-Variation Mode Decomposition

      • Ido Cohen, Tom Berkov, Guy Gilboa
      Pages 52-64

    7. Fast Morphological Dilation and Erosion for Grey Scale Images Using the Fourier Transform

      • Marvin Kahra, Vivek Sridhar, Michael Breuß
      Pages 65-77

    8. Diffusion, Pre-smoothing and Gradient Descent

      • Martin Welk
      Pages 78-90

    9. Local Culprits of Shape Complexity

      • Mazlum Ferhat Arslan, Sibel Tari
      Pages 91-99

    10. 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
      Download chapter PDF

    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
      Download chapter PDF

    2. First-Order Geometric Multilevel Optimization for Discrete Tomography

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

Other volumes

  1. Scale Space and Variational Methods in Computer Vision

Keywords

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. 

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

Publish with us

Policies and ethics

Back to top

Search

Navigation