1. Scale-Space 1997: Utrecht, The Netherlands

@proceedings{DBLP:conf/scalespace/1997,
  editor    = {Bart M. ter Haar Romeny and
               Luc Florack and
               Jan J. Koenderink and
               Max A. Viergever},
  title     = {Scale-Space Theory in Computer Vision, First International Conference,
               Scale-Space'97, Utrecht, The Netherlands, July 2-4, 1997, Proceedings},
  booktitle = {Scale-Space},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1252},
  year      = {1997},
  isbn      = {3-540-63167-4},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Invited Papers

• Joachim Weickert:
  A Review of Nonlinear Diffusion Filtering. 3-28
  
• Vicent Caselles, Bartomeu Coll, Jean-Michel Morel:
  Scale Space Versus Topographic Map for Natural Images. 29-49
  

Regular Papers

• Jon Sporring, Joachim Weickert:
  On Generalized Entropies and Scale-Space. 53-64
  
• Mads Nielsen, Wiro J. Niessen, Robert Maas, Luc Florack, Bart M. ter Haar Romeny:
  On the Duality of Scalar and Density Flows. 65-76
  
• Stiliyan Kalitzin, Bart M. ter Haar Romeny, Max A. Viergever:
  Invertible Orientation Bundles on 2D Scalar Images. 77-88
  
• Satoru Morita:
  Generating Stable Structure Using Scale-Space Analysis with Non-uniform Gaussian Kernels. 89-100
  
• Ole Fogh Olsen, Mads Nielsen:
  Generic Events for the Gradient Squared with Application to Multi-Scale Segmentation. 101-112
  
• Tony Lindeberg:
  Linear Spatio-Temporal Scale-Space. 113-127
  
• Lars Bretzner, Tony Lindeberg:
  On the Handling of Spatial and Temporal Scales in Feature Tracking. 128-139
  
• Márta Fidrich:
  Following Feature Lines Across Scale. 140-151
  
• Cristian Lorenz, I.-C. Carlsen, Thorsten M. Buzug, Carola Fassnacht, Jürgen Weese:
  A Multi-scale Line Filter with Automatic Scale Selection Based on the Hessian Matrix for Medical Image Segmentation. 152-163
  
• Freek J. Beekman, Ed T. P. Slijpen, Wiro J. Niessen:
  Supervised Diffusion Parameter Selection for Filtering SPECT Brain Images. 164-175
  
• Jacob D. Furst, Robert S. Keller, Jason Miller, Stephen M. Pizer:
  Image Loci are Ridges in Geometric Spaces. 176-187
  
• Olivier Coulon, Isabelle Bloch, Vincent Frouin, Jean-Francois Mangin:
  Multiscale Measures in Linear Scale-Space for Characterizing Cerebral Functional Activations in 3D PET Difference Images. 188-199
  
• Ilya Pollak, Alan S. Willsky, Hamid Krim:
  Scale Space Analysis by Stabilized Inverse Diffusion Equations. 200-211
  
• Ron Kimmel:
  Intrinsic Scale Space for Images on Surfaces: The Geodesic Curvature Flow. 212-223
  
• Simon R. Arridge, Andrew Simmons:
  Multi-Spectral Probabilistic Diffusion Using Bayesian Classification. 224-235
  
• Ron Kimmel, Nir A. Sochen, Ravi Malladi:
  From High Energy Physics to Low Level Vision. 236-247
  
• Alfons H. Salden, Bart M. ter Haar Romeny, Max A. Viergever:
  Dynamic Scale-Space Theories. 248-259
  
• Joachim Weickert:
  Recursive Separable Schemes for Nonlinear Diffusion Filters. 260-271
  
• Olivier D. Faugeras, Renaud Keriven:
  Level Set Methods and the Stereo Problem. 272-283
  
• Sadegh Abbasi, Farzin Mokhtarian, Josef Kittler:
  Reliable Classification of Chrysanthemum Leaves through Curvature Scale Space. 284-295
  
• Farzin Mokhtarian:
  Multi-Scale Contour Segmentation. 296-307
  

Posters

• Kathrin Berkner:
  Reconstruction of Self-similar Functions from Scale-Space. 311-314
  
• Hidekata Hontani, Koichiro Deguchi:
  Multi-Scale Detection of Characteristic Figure Structures Using Principal Curvatures of Image Gray-Level Profile. 315-318
  
• Peter Bajcsy, Narendra Ahuja:
  A New Framework for Hierarchical Segmentation Using Similarity Analysis. 319-322
  
• Michael J. Black, Guillermo Sapiro, David H. Marimont, David Heeger:
  Robust Anisotropic Diffusion: Connections Between Robust Statistics, Line Processing, and Anisotropic Diffusion. 323-326
  
• Bruce Fischl, Eric L. Schwartz:
  Fast Adaptive Alternatives to Nonlinear Diffusion in Image Enhancement: Green`s Function Approximators and Nonlocal Filters. 327-332
  
• Peter Forte, Darrel Greenhill:
  A Scale-Space Approach to Shape Similarity. 333-336
  
• Julia A. Schnabel, Simon R. Arridge:
  Multi-Scale Active Shape Description. 337-340
  
• Richard Harvey, J. Andrew Bangham, Alison Bosson:
  Scale-Space Filters and Their Robustness. 341-344
  
• Karl Krissian, Grégoire Malandain, Nicholas Ayache:
  Directional Anisotropic Diffusion Applied to Segmentation of Vessels in 3D Images. 345-348
  
• Stijn Oomes, Peter R. Snoeren, Tjeerd Dijkstra:
  3D Shape Representation: Transforming Polygons into Voxels. 349-352
  
• Atsushi Imiya, Ryo Katsuta:
  Extraction of a Structure Feature from Three-Dimensional Objects by Scale-Space Analysis. 353-356
  
• Jozef Kacur, Karol Mikula:
  Slowed Anisotropic Diffusion. 357-360
  
• Nasser Armande, Philippe Montesinos, Olivier Monga:
  Thin Nets Extraction Using a Multi-scale Approach. 361-364
  

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