Scale Space Methods in Computer Vision
(Sprache: Englisch)
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.
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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.
Inhaltsverzeichnis zu „Scale Space Methods in Computer Vision “
- 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
... mehr
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
- 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
... weniger
Bibliographische Angaben
- 2014, xiii, 819 Seiten, Maße: 15,6 x 24 cm, Kartoniert (TB), Englisch
- Herausgegeben: L. D. Griffin, M. Lillholm
- Verlag: Springer Berlin
- ISBN-10: 354040368X
- ISBN-13: 9783540403685
Sprache:
Englisch
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