Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Scale Space and Variational Methods in Computer Vision

6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. François Lauze

    1. University of Copenhagen , Copenhagen, Denmark

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Yiqiu Dong

    1. Technical University of Denmark , Kongens Lyngby, Denmark

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Anders Bjorholm Dahl

    1. Technical University of Denmark , Kongens Lyngby, Denmark

    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 10302)

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 2017.

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

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

About this book

This book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017. The 55 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: Scale Space and PDE Methods; Restoration and Reconstruction; Tomographic Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D Vision.

Similar content being viewed by others

Keywords

Table of contents (55 papers)

  1. Front Matter

    Pages I-XV
    Download chapter PDF

  2. Scale Space and PDE Methods

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Spatio-Temporal Scale Selection in Video Data

      • Tony Lindeberg
      Pages 3-15

    3. Dynamic Texture Recognition Using Time-Causal Spatio-Temporal Scale-Space Filters

      • Ylva Jansson, Tony Lindeberg
      Pages 16-28

    4. Corner Detection Using the Affine Morphological Scale Space

      • Luis Alvarez
      Pages 29-40

    5. Nonlinear Spectral Image Fusion

      • Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa et al.
      Pages 41-53

    6. Tubular Structure Segmentation Based on Heat Diffusion

      • Fang Yang, Laurent D. Cohen
      Pages 54-65

    7. Analytic Existence and Uniqueness Results for PDE-Based Image Reconstruction with the Laplacian

      • Laurent Hoeltgen, Isaac Harris, Michael Breuß, Andreas Kleefeld
      Pages 66-79

    8. Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition

      • Leonie Zeune, Stephan A. van Gils, Leon W. M. M. Terstappen, Christoph Brune
      Pages 80-93

    9. An Efficient and Stable Two-Pixel Scheme for 2D Forward-and-Backward Diffusion

      • Martin Welk, Joachim Weickert
      Pages 94-106

  3. Restoration and Reconstruction

    1. Front Matter

      Pages 107-107
      Download chapter PDF

    2. Blind Space-Variant Single-Image Restoration of Defocus Blur

      • Leah Bar, Nir Sochen, Nahum Kiryati
      Pages 109-120

    3. Denoising by Inpainting

      • Robin Dirk Adam, Pascal Peter, Joachim Weickert
      Pages 121-132

    4. Stochastic Image Reconstruction from Local Histograms of Gradient Orientation

      • Agnès Desolneux, Arthur Leclaire
      Pages 133-145

    5. A Dynamic Programming Solution to Bounded Dejittering Problems

      • Lukas F. Lang
      Pages 146-158

    6. Robust Blind Deconvolution with Convolution-Spectrum-Based Kernel Regulariser and Poisson-Noise Data Terms

      • Martin Welk
      Pages 159-171

    7. Optimal Patch Assignment for Statistically Constrained Texture Synthesis

      • Jorge Gutierrez, Julien Rabin, Bruno Galerne, Thomas Hurtut
      Pages 172-183

    8. A Correlation-Based Dissimilarity Measure for Noisy Patches

      • Paul Riot, Andrés Almansa, Yann Gousseau, Florence Tupin
      Pages 184-195

    9. Analysis of a Physically Realistic Film Grain Model, and a Gaussian Film Grain Synthesis Algorithm

      • Alasdair Newson, Noura Faraj, Julie Delon, Bruno Galerne
      Pages 196-207

    10. Below the Surface of the Non-local Bayesian Image Denoising Method

      • Pablo Arias, Mila Nikolova
      Pages 208-220
Back to top

Other volumes

  1. Scale Space and Variational Methods in Computer Vision

Editors and Affiliations

  • University of Copenhagen , Copenhagen, Denmark

    François Lauze

  • Technical University of Denmark , Kongens Lyngby, Denmark

    Yiqiu Dong, Anders Bjorholm Dahl

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation