Scale Space Methods in Computer Vision

The refereed proceedings of the 4th International Conference on Scale Space Methods in Computer Vision, Scale-Space 2003, held at Isle of Skye, UK in June 2003.

The 56 revised full papers presented were carefully reviewed and selected from 101 submissions. The book offers topical sections on deep structure representations, scale space mathematics, equivalences, implementing scale spaces, minimal approaches, evolution equations, local structure, image models, morphological scale spaces, temporal scale spaces, shape, and motion and stereo.

Deep Structure Representation.- On Manifolds in Gaussian Scale Space.- Many-to-Many Matching of Scale-Space Feature Hierarchies Using Metric Embedding.- Content Based Image Retrieval Using Multiscale Top Points.- Feature Coding with a Statistically Independent Cortical Representation.- Scale Space Mathematics.- Scale-Space Image Analysis Based on Hermite Polynomials Theory.- A Complete System of Measurement Invariants for Abelian Lie Transformation Groups.- Equivalences.- Equivalence Results for TV Diffusion and TV Regularisation.- Correspondences between Wavelet Shrinkage and Nonlinear Diffusion.- Implementing Scale Spaces.- Approximating Non-linear Diffusion.- A Generalized Discrete Scale-Space Formulation for 2-D and 3-D Signals.- Real-Time Scale Selection in Hybrid Multi-scale Representations.- ‘Minimal’ Approaches.- A Scale Space for Contour Registration Using Minimal Surfaces.- The Extrema Edges.- Other Evolution Equations.- The Maximum Principle for Beltrami Color Flow.- The Monogenic Scale Space on a Bounded Domain and Its Applications.- Using the Complex Ginzburg-Landau Equation for Digital Inpainting in 2D and 3D.- Local Structure.- Least Squares and Robust Estimation of Local Image Structure.- Regularity Classes for Locally Orderless Images.- Mode Estimation Using Pessimistic Scale Space Tracking.- Image Models.- Properties of Brownian Image Models in Scale-Space.- Image Decomposition Application to SAR Images.- Morphological Scale Space.- Basic Morphological Operations, Band-Limited Images and Sampling.- An Explanation for the Logarithmic Connection between Linear and Morphological Systems.- Temporal Scale Spaces.- Temporal Scale Spaces.- Temporal Structure Tree in Digital Linear Scale Space.- Interest Point Detection and Scale Selection in Space-Time.- Shape.- Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling.- PDE Based Shape from Specularities.- A Markov Random Field Approach to Multi-scale Shape Analysis.- Motion & Stereo.- Variational Dense Motion Estimation Using the Helmholtz Decomposition.- Regularizing a Set of Unstructured 3D Points from a Sequence of Stereo Images.- Poster Session 1.- Image Reconstruction from Multiscale Critical Points.- Texture Classification through Multiscale Orientation Histogram Analysis.- ? Scale Spaces on a Bounded Domain.- Efficient Beltrami Flow Using a Short Time Kernel.- Evolution of the Critical Points in the Curvature and Affine Morphological Scale Spaces.- MAPS: Multiscale Attention-Based PreSegmentation of Color Images.- Convex Colour Sieves.- Scale-Space on Image Profiles about an Object Boundary.- Iris Feature Extraction and Matching Based on Multiscale and Directional Image Representation.- Fast Computation of Scale Normalised Gaussian Receptive Fields.- A Multiphase Level Set Framework for Motion Segmentation.- Segmentation of Coarse and Fine Scale Features Using Multi-scale Diffusion and Mumford-Shah.- On the Number of Modes of a Gaussian Mixture.- Poster Session 2.- Fully Automatic Segmentation of MRI Brain Images Using Probabilistic Anisotropic Diffusion and Multi-scale Watersheds.- Error-Bounds on Curvature Estimation.- Multiresolution Approach to Biomedical Image Segmentation with Statistical Models of Appearance.- A Common Viewpoint on Broad Kernel Filtering and Nonlinear Diffusion.- Efficient and Consistent Recursive Filtering of Images with Reflective Extension.- Shape Description Using Gradient Vector Field Histograms.- Comparing Objective and Subjective Quality Results for Compression Pre-processing with Non-linear Diffusion.- Computation of Generic Features for Object Classification.- Gaussian Scale Space from Insufficient Image Information.- Families of Generalised Morphological Scale Spaces.- Detection and Localization of Random Signals.- Continuous Curve Matching with Scale-Space Curvature and Extrema-Based Scale Selection.