Scale Space and Variational Methods in Computer Vision

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