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Scale Space Methods in Computer Vision : 4th International Conference, Scale-Space 2003, Isle of Skye, UK, June 10-12, 2003, Proceedings / edited by Lewis D. Griffin, Martin Lillholm.

LIBRA Q341 .P7 2004
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Format:
Book
Contributor:
Griffin, Lewis D., editor.
Lillholm, Martin, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 2695.
Lecture Notes in Computer Science, 0302-9743 ; 2695
Language:
English
Subjects (All):
Optical data processing.
Numerical analysis.
Artificial intelligence.
Computer graphics.
Pattern perception.
Image Processing and Computer Vision.
Numeric Computing.
Artificial Intelligence.
Computer Graphics.
Pattern Recognition.
Local Subjects:
Image Processing and Computer Vision.
Numeric Computing.
Artificial Intelligence.
Computer Graphics.
Pattern Recognition.
Physical Description:
1 online resource (XIII, 819 pages).
Edition:
First edition 2003.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
System Details:
text file PDF
Summary:
This book constitutes 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 stereophonic.
Contents:
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 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 and 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.
Other Format:
Printed edition:
ISBN:
978-3-540-44935-5
9783540449355
Access Restriction:
Restricted for use by site license.

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