Scale-space theories in computer vision : second international conference, Scale-Space'99, Corfu, Greece, September 26-27, 1999 : proceedings
This volume constitutes the refereed proceedings of the Second International Conference on Scale-Space Theories in Computer Vision, Scale-Space'99, held in Corfu, Greece, in September 1999. The 36 revised full papers and the 18 revised posters presented in the book were carefully reviewed and s...
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| Sprache: | Anglais |
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| Schriftenreihe: | Lecture notes in computer science
1682 |
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| Edition sous un autre format: | • Scale-space theories in computer vision, second international conference, Scale-Space'99, Corfu, Greece, September 26-27, 1999, proceedings, Mads Nielsen ... [et al.] (eds.), 1999, New York, Springer, 1 vol. (XII-532 p.), Lecture notes in computer science, 3-540-66498-X • Scale-Space Theories in Computer Vision, Texte imprimé, 9783662168875 |
Inhaltsangabe:
- Oral Presentations
- Blur and Disorder
- Applications of Locally Orderless Images
- Scale Space Technique for Word Segmentation in Handwritten Documents
- Fast Geodesic Active Contours
- Morphing Active Contours
- Unfolding the Cerebral Cortex Using Level Set Methods
- Reconciling Distance Functions and Level Sets
- Computation of Ridges via Pullback Metrics from Scale Space
- The Maximal Scale Ridge - Incorporating Scale into the Ridge Definition
- Detection of Critical Structures in Scale Space
- Qualitative Multi-scale Feature Hierarchies for Object Tracking
- Riemannian Drums, Anisotropic Curve Evolution and Segmentation
- An Active Contour Model without Edges
- A Compact and Multiscale Image Model Based on Level Sets
- Morphological Scale Space and Mathematical Morphology
- Scale-Space from a Level Lines Tree
- Morphological Scale-Space Representation with Levelings
- Numerical Solution Schemes for Continuous-Scale Morphology
- Scale-Space Properties of Regularization Methods
- An Adaptive Finite Element Method for Large Scale Image Processing
- A Scale-Space Approach to Nonlocal Optical Flow Calculations
- Scales in Natural Images and a Consequence on Their Bounded Variation Norm
- Edges as Outliers: Anisotropic Smoothing Using Local Image Statistics
- The Hausdorff Dimension and Scale-Space Normalisation of Natural Images
- Long Posters
- Lattice Boltzmann Models for Nonlinear Diffusion Filtering
- Geometric-Variational Approach for Color Image Enhancement and Segmentation
- A Level Set Model for Image Classification
- Calculations on Critical Points under Gaussian Blurring
- Region Tracking on Surfaces Deforming via Level-Sets Methods
- Geometric Multiscale Representation of Numerical Images
- Multiscale Morphological Segmentations Based on Watershed, Flooding,and Eikonal PDE
- Nonlinear PDEs and Numerical Algorithms for Modeling Levelings and Reconstruction Filters
- Proper Scales of Shapes - A Curved Scale Space
- Nonlinear Anisotropic Diffusion in Three-Dimensional Electron Microscopy
- Polygon Evolution by Vertex Deletion
- A Scale-Space Based Approach for Deformable Contour Optimization
- Short Posters
- Self-similarity of Noise in Scale-Space
- A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
- Curvature Scale Space with Affine Length Parametrisation
- A Stochastic Scale Space for Multiscale Image Representation
- Fast Marching to Moving Object Location
- A Windows-Based User Friendly System for Image Analysis with Partial Differential Equations
- Color Invariant Edge Detection
- Scale Space Range Image Aspect Graph
- Hierachical Density Non-rigid Object Analysis
- Discrete Mean Curvature Flow
- An Adaptive Local Smoothing for Contour Figure Approximation
- Negative Results for Multilevel Preconditioners in Image Deblurring
- Decomposition and Hierarchy: Efficient StructuralMatching of Large Multiscale Representations
- Tracing of Curvilinear Structures in 3D Images with Single Scale Diameter Measurement
- A Geometric Functional for Derivatives Approximation
- Segmenting by Compression Using Linear Scale-Space and Watersheds
- A Multiscale Taylor Series Approaches to Optic Flow and Stereo: A Generalization of Optic Flow under the Aperture
- Global Convergence Rates of Nonlinear Diffusion for Time-Varying Images.