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Scale Space and Variational Methods in Computer Vision

First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings

  • Conference proceedings
  • © 2007

Overview

Editors:
  1. Fiorella Sgallari
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  2. Almerico Murli
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  3. Nikos Paragios
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4485)

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 2007.

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Table of contents (79 papers)

  1. Front Matter

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  2. Oral Presentations

    1. Scale Space and Features Extraction

      1. Full Affine Wavelets Are Scale-Space with a Twist
        • Yossi Ferdman, Chen Sagiv, Nir Sochen
        Pages 1-12
      2. Iterated Nonlocal Means for Texture Restoration
        • Thomas Brox, Daniel Cremers
        Pages 13-24
      3. The Jet Metric
        • Marco Loog
        Pages 25-31
      4. Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
        • Cosmin Mihai, Iris Vanhamel, Hichem Sahli, Antonis Katartzis, Ioannis Pratikakis
        Pages 32-42

    2. Image Enhancement and Reconstruction

      1. An High Order Finite Co-volume Scheme for Denoising Using Radial Basis Functions
        • Serena Morigi, Fiorella Sgallari
        Pages 43-54
      2. Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
        • Bart Janssen, Remco Duits, Bart ter Haar Romeny
        Pages 55-67
      3. A Nonconvex Model to Remove Multiplicative Noise
        • Gilles Aubert, Jean-François Aujol
        Pages 68-79
      4. Best Basis Compressed Sensing
        • Gabriel Peyré
        Pages 80-91
      5. Efficient Beltrami Filtering of Color Images Via Vector Extrapolation
        • Lorina Dascal, Guy Rosman, Ron Kimmel
        Pages 92-103
      6. Vector-Valued Image Interpolation by an Anisotropic Diffusion-Projection PDE
        • Anastasios Roussos, Petros Maragos
        Pages 104-115
      7. Faithful Recovery of Vector Valued Functions from Incomplete Data
        • Massimo Fornasier
        Pages 116-127
      8. Discrete Regularization on Weighted Graphs for Image and Mesh Filtering
        • Sébastien Bougleux, Abderrahim Elmoataz, Mahmoud Melkemi
        Pages 128-139
      9. Counter-Examples for Bayesian MAP Restoration
        • Mila Nikolova
        Pages 140-152

    3. Image Segmentation and Visual Grouping

      1. New Possibilities with Sobolev Active Contours
        • Ganesh Sundaramoorthi, Anthony Yezzi, Andrea C. Mennucci, Guillermo Sapiro
        Pages 153-164
      2. A Geometric-Functional-Based Image Segmentation and Inpainting
        • Vladimir Kluzner, Gershon Wolansky, Yehoshua Y. Zeevi
        Pages 165-177
      3. Level Set Methods for Watershed Image Segmentation
        • Xue-Cheng Tai, Erlend Hodneland, Joachim Weickert, Nickolay V. Bukoreshtliev, Arvid Lundervold, Hans-Hermann Gerdes
        Pages 178-190
      4. Segmentation Under Occlusions Using Selective Shape Prior
        • Sheshadri R. Thiruvenkadam, Tony F. Chan, Byung-Woo Hong
        Pages 191-202
      5. On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
        • Thomas Brox, Daniel Cremers
        Pages 203-213
      6. Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework
        • Benoit Mory, Roberto Ardon
        Pages 214-226
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