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Scale Space and PDE Methods in Computer Vision

5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005, Proceedings

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Ron Kimmel

    1. Dept. of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel

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  2. Nir A. Sochen

    1. School of Mathematical Sciences, Tel Aviv University, Tel Aviv, Israel

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  3. Joachim Weickert

    1. Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3459)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: Scale-Space 2005.

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Table of contents (53 papers)

  1. Front Matter

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  2. Oral Presentations

    1. Novel Linear Scale-Spaces

      1. Relativistic Scale-Spaces
        • Bernhard Burgeth, Stephan Didas, Joachim Weickert
        Pages 1-12
      2. Regularity and Scale-Space Properties of Fractional High Order Linear Filtering
        • Stephan Didas, Bernhard Burgeth, Atsushi Imiya, Joachim Weickert
        Pages 13-25

    2. Image Features

      1. Image Features and the 1-D, 2<sup><i>nd</i></sup> Order Gaussian Derivative Jet
        • Lewis D Griffin, Martin Lillholm
        Pages 26-37
      2. A New Technique for Local Symmetry Estimation
        • Matthew Mellor, Michael Brady
        Pages 38-49
      3. Geometry of Isophote Curves
        • André Diatta, Peter Giblin
        Pages 50-61

    3. Deep Structure

      1. Stability of Top-Points in Scale Space
        • E. Balmachnova, L. M. J. Florack, B. Platel, F. M. W. Kanters, B. M. ter Haar Romeny
        Pages 62-72
      2. Discrete Representation of Top Points via Scale Space Tessellation
        • B. Platel, M. Fatih Demirci, A. Shokoufandeh, L. M. J. Florack, F. M. W. Kanters, B. M. ter Haar Romeny et al.
        Pages 73-84
      3. A Linear Image Reconstruction Framework Based on Sobolev Type Inner Products
        • Bart Janssen, Frans Kanters, Remco Duits, Luc Florack, Bart ter Haar Romeny
        Pages 85-96
      4. Multi-scale Singularity Trees: Soft-Linked Scale-Space Hierarchies
        • Kerawit Somchaipeng, Jon Sporring, Sven Kreiborg, Peter Johansen
        Pages 97-106

    4. Image Processing

      1. Image Deblurring in the Presence of Salt-and-Pepper Noise
        • Leah Bar, Nir Sochen, Nahum Kiryati
        Pages 107-118

    5. Medical Applications

      1. Phase Contrast MRI Segmentation Using Velocity and Intensity
        • Markus Persson, Jan Erik Solem, Karin Markenroth, Jonas Svensson, Anders Heyden
        Pages 119-130
      2. Active Shape Models and Segmentation of the Left Ventricle in Echocardiography
        • Nikos Paragios, Marie-Pierre Jolly, Maxime Taron, Rama Ramaraj
        Pages 131-142
      3. A Variational Image Registration Approach Based on Curvature Scale Space
        • Stefan Henn, Kristian Witsch
        Pages 143-154

    6. Contours

      1. A Scale-Space Analysis of a Contour Figure Using a Crystalline Flow
        • Hidekata Hontani, Yu Suzuki, Yoshikazu Giga, Mi-Ho Giga, Koichiro Deguchi
        Pages 155-166
      2. Multiscale Active Contours
        • Xavier Bresson, Pierre Vandergheynst, Jean-Philippe Thiran
        Pages 167-178

    7. Tensors

      1. Riesz-Transforms Versus Derivatives: On the Relationship Between the Boundary Tensor and the Energy Tensor
        • Ullrich Köthe, Michael Felsberg
        Pages 179-191
      2. GET: The Connection Between Monogenic Scale-Space and Gaussian Derivatives
        • Michael Felsberg, Ullrich Köthe
        Pages 192-203
      3. Matrix-Valued Filters as Convex Programs
        • Martin Welk, Florian Becker, Christoph Schnörr, Joachim Weickert
        Pages 204-216

    8. Non-linear Filters

      1. Retinex by Two Bilateral Filters
        • Michael Elad
        Pages 217-229
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Keywords

About this book

Welcome to the proceedings of the 5th International Conference on Scale-Space and PDE Methods in Computer Vision. The scale-space concept was introduced by Iijima more than 40 years ago and became popular later on through the works of Witkin and Koenderink. It is at the junction of three major schools of thought in image processing and computer vision: the design of ?lters, axiomatic approaches based on partial di?erential equations (PDEs), and variational methods for image regularization. Scale-space ideas belong to the mathematically best-understood approaches in image analysis. They have entered numerous successful applications in medical imaging and a number of other ?elds where they often give results of very high quality. This conference followed biennial meetings held in Utrecht, Corfu, Vancouver and Skye. It took place in a little castle (Schl¨ osschen Sch¨ onburg) near the small town of Hofgeismar, Germany. Inspired by the very successful previous meeting at Skye, we kept the style of gathering people in a slightly remote and scenic place in order to encourage many fruitful discussions during the day and in the evening. Wereceived79fullpapersubmissionsofahighstandardthatischaracteristic for the scale-space conferences. Each paper was reviewed by three experts from the Program Committee, sometimes helped by additional reviewers. Based on theresultsofthesereviews,53paperswereaccepted.Weselected24manuscripts for oral presentation and 29 for poster presentation.

Editors and Affiliations

  • Dept. of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel

    Ron Kimmel

  • School of Mathematical Sciences, Tel Aviv University, Tel Aviv, Israel

    Nir A. Sochen

  • Mathematical Image Analysis Group, Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany

    Joachim Weickert

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