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Scale-Space Theory in Computer Vision

First International Conference, Scale-Space '97, Utrecht, The Netherlands, July 2 - 4, 1997, Proceedings

  • Conference proceedings
  • © 1997

Overview

Editors:
  1. Bart Haar Romeny
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  2. Luc Florack
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  3. Jan Koenderink
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  4. Max Viergever
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1252)

Included in the following conference series:

Conference proceedings info: Scale-Space 1997.

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Table of contents (36 papers)

  1. Front Matter

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  2. A review of nonlinear diffusion filtering

    • Joachim Weickert
    Pages 1-28

  3. Scale space versus topographic map for natural images

    • V. Caselles, B. Coll, J. M. Morel
    Pages 29-49

  4. On generalized entropies and scale-space

    • Jon Sporring, Joachim Weickert
    Pages 51-64

  5. On the duality of scalar and density flows

    • Mads Nielsen, Wiro Niessen, Robert Maas, Luc Florack, Bart ter Haar Romeny
    Pages 65-76

  6. Invertible orientation bundles on 2D scalar images

    • Stiliyan N. Kalitzin, Bart M. ter Haar Romeny, Max A. Viergever
    Pages 77-88

  7. Generating stable structure using Scale-space analysis with non-uniform Gaussian kernels

    • Satoru Morita
    Pages 89-100

  8. Generic events for the gradient squared with application to multi-scale segmentation

    • Ole Fogh Olsen, Mads Nielsen
    Pages 101-112

  9. Linear spatio-temporal scale-space

    • Tony Lindeberg
    Pages 113-127

  10. On the handling of spatial and temporal scales in feature tracking

    • Lars Bretzner, Tony Lindeberg
    Pages 128-139

  11. Following feature lines across scale

    • Márta Fidrich
    Pages 140-151

  12. A multi-scale line filter with automatic scale selection based on the Hessian matrix for medical image segmentation

    • C. Lorenz, I. -C. Carlsen, T. M. Buzug, C. Fassnacht, J. Weese
    Pages 152-163

  13. Supervised diffusion parameter selection for filtering SPECT brain images

    • Freek J. Beekman, Ed T. P. Slijpen, Wiro J. Niessen
    Pages 164-175

  14. Image loci are ridges in geometric spaces

    • Jacob D. Furst, Robert S. Keller, Jason E. Miller, Stephen M. Pizer
    Pages 176-187

  15. Multiscale measures in linear scale-space for characterizing cerebral functional activations in 3D PET difference images

    • Olivier Coulon, Isabelle Bloch, Vincent Frouin, Jean-François Mangin
    Pages 188-199

  16. Scale space analysis by stabilized inverse diffusion equations

    • Ilya Pollak, Alan S. Willsky, Hamid Krim
    Pages 200-211

  17. Intrinsic scale space for images on surfaces: The geodesic curvature flow

    • Ron Kimmel
    Pages 212-223

  18. Multi-spectral probabilistic diffusion using bayesian classification

    • Simon R. Arridge, Andrew Simmons
    Pages 224-235

  19. From high energy physics to low level vision

    • Ron Kimmel, Nir Sochen, Ravi Malladi
    Pages 236-247

  20. Dynamic scale-space theories

    • Alfons H. Salden, Bart M. ter Haar Romeny, Max A. Viergever
    Pages 248-259
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Keywords

About this book

This book constitutes the refereed proceedings of the First International Conference on Scale-Space Theory for Computer Vision, Scale-Space '97, held in Utrecht, The Netherlands, in July 1997.
The volume presents 21 revised full papers selected from a total of 41 submissions. Also included are 2 invited papers and 13 poster presentations. This book is the first comprehensive documentation of the application of Scale-Space techniques in computer vision and, in the broader context, in image processing and pattern recognition.

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