Scale-Space and Morphology in Computer Vision

1. Front Matter

   Pages I-XI

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2. Oral Presentations

   1. Using the Vector Distance Functions to Evolve Manifolds of Arbitrary Codimension

      • José Gomes, Olivier Faugeras

      Pages 1-13

   2. Computing Optic Flow by Scale-Space Integration of Normal Flow

      • Kim S. Pedersen, Mads Nielsen

      Pages 14-25

   3. Image Registration, Optical Flow, and Local Rigidity

      • Martin Lefébure, Laurent D. Cohen

      Pages 26-28

   4. What Do Features Tell about Images?

      • Mads Nielsen, Martin Lillholm

      Pages 39-50

   5. Features in Scale Space: Progress on the 2D 2nd Order Jet

      • Elena Tagliati, Lewis D. Griffin

      Pages 51-62

   6. Tracking of Multi-state Hand Models Using Particle Filtering and a Hierarchy of Multi-scale Image Features⋆

      • Ivan Laptev, Tony Lindeberg

      Pages 63-74

   7. A Note on Two Classical Shock Filters and Their Asymptotics

      • Frédéric Guichard, Jean-Michel Morel

      Pages 75-84

   8. Bayesian Object Detection through Level Curves Selection

      • Charles Kervrann

      Pages 85-97

   9. A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses⋆

      • Ivan Laptev, Tony Lindeberg

      Pages 98-110

   10. Total Variation Based Oversampling of Noisy Images

       • Franςois Malgouyres⋆

       Pages 111-122

   11. Down-Scaling for Better Transform Compression

       • Alfred M. Bruckstein⋆, Michael Elad, Ron Kimmel*

       Pages 123-136

   12. Algebraic and PDE Approaches for Multiscale Image Operators with Global Constraints: Reference Semilattice Erosions and Levelings

       • Petros Maragos

       Pages 137-148

   13. Adjunctions in Pyramids and Curve Evolution

       • Renato Keshet, Henk J. A. M. Heijmans

       Pages 149-160

   14. Hierarchies of Partitions and Morphological Segmentation

       • Fernand Meyer

       Pages 161-182

   15. On the Behavior of Spatial Critical Points under Gaussian Blurring A Folklore Theorem and Scale-Space Constraints

       • Marco Loog, Johannes JisseDuistermaat, Luc M. J. Florack

       Pages 183-192

   16. Scale-Space Theories for Scalar and Vector Images

       • Luc M. J. Florack

       Pages 193-204

   17. Gaussian Convolutions Numerical Approximations Based on Interpolation

       • Rein van denBoomgaard, Rik van derWeij

       Pages 205-214

   18. Scale-Spaces, PDE’s, and Scale-Invariance

       • Henk J. A. M. Heijmans

       Pages 215-226

3. Poster Presentations

   1. Generic Multi-scale Segmentation and Curve Approximation Method

      • Marielle Mokhtari, Robert Bergevin

      Pages 227-235

This book constitutes the refereed proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision, Scale-Space 2001, held in Vancouver, Canada in July 2001.
The 18 revised full papers presented together with 23 posters were carefully reviewed and selected from 60 submissions. The book addresses all current aspects of scale-space and morphology in the context of computer vision, in particular, vector distance functions, optic flow, image registration, curve evolution, morphological segmentation, scalar images, vector images, automatic scale selection, geometric diffusion, diffusion filtering, image filtering, inverse problems, active contours, etc.

• Active contour
• Computational Geometry
• Diffusion
• Feature Extraction
• Geometric Diffusion
• Image Processing
• Morphology
• Pattern Recognition
• Scale-Space Theory
• Segmentation
• Vector Images
• computer vision
• filtering
• image filtering
• image registration

• Dept. of Mathematics & Computer Science, University of Richmond, Richmond, USA

  Michael Kerckhove

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