Scale Space and Variational Methods in Computer Vision First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Sgallari, Fiorella (Editor ), Murli, Almerico (Editor ), Paragios, Nikos (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4485
Temas:
Computer vision.
Computer graphics.
Pattern recognition systems.
Artificial intelligence.
Numerical analysis.
Algorithms.
Computer Vision.
Computer Graphics.
Automated Pattern Recognition.
Artificial Intelligence.
Numerical Analysis.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Oral Presentations
  • Full Affine Wavelets Are Scale-Space with a Twist
  • Iterated Nonlocal Means for Texture Restoration
  • The Jet Metric
  • Scale Selection for Compact Scale-Space Representation of Vector-Valued Images
  • An High Order Finite Co-volume Scheme for Denoising Using Radial Basis Functions
  • Linear Image Reconstruction by Sobolev Norms on the Bounded Domain
  • A Nonconvex Model to Remove Multiplicative Noise
  • Best Basis Compressed Sensing
  • Efficient Beltrami Filtering of Color Images Via Vector Extrapolation
  • Vector-Valued Image Interpolation by an Anisotropic Diffusion-Projection PDE
  • Faithful Recovery of Vector Valued Functions from Incomplete Data
  • Discrete Regularization on Weighted Graphs for Image and Mesh Filtering
  • Counter-Examples for Bayesian MAP Restoration
  • New Possibilities with Sobolev Active Contours
  • A Geometric-Functional-Based Image Segmentation and Inpainting
  • Level Set Methods for Watershed Image Segmentation
  • Segmentation Under Occlusions Using Selective Shape Prior
  • On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional
  • Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework
  • A Variational Approach for Multi-valued Velocity Field Estimation in Transparent Sequences
  • Dense Optical Flow Estimation from the Monogenic Curvature Tensor
  • A Consistent Spatio-temporal Motion Estimator for Atmospheric Layers
  • Paretian Similarity for Partial Comparison of Non-rigid Objects
  • Some Remarks on Perspective Shape-from-Shading Models
  • Poster Presentations
  • Scale-Space Clustering with Recursive Validation
  • Scale Spaces on Lie Groups
  • Convex Inverse Scale Spaces
  • Spatio-temporal Scale-Spaces
  • A Scale-Space Reeb-Graph of Topological Invariants of Images and Its Applications to Content Identification
  • Salient Regions from Scale-Space Trees
  • Generic Maximum Likely Scale Selection
  • Combining Different Types of Scale Space Interest Points Using Canonical Sets
  • Feature Vector Similarity Based on Local Structure
  • Maximum Likelihood Metameres for Local 2 nd Order Image Structure of Natural Images
  • Fast and Accurate Gaussian Derivatives Based on B-Splines
  • Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising
  • The Variational Origin of Motion by Gaussian Curvature
  • A Variational Method with a Noise Detector for Impulse Noise Removal
  • Detection and Completion of Filaments: A Vector Field and PDE Approach
  • Nonlinear Diffusion on the 2D Euclidean Motion Group
  • A TV-Stokes Denoising Algorithm
  • Anisotropic ?-Kernels and Associated Flows
  • Bounds on the Minimizers of (nonconvex) Regularized Least-Squares
  • Numerical Invariantization for Morphological PDE Schemes
  • Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
  • Restoration of Images with Piecewise Space-Variant Blur
  • Mumford-Shah Regularizer with Spatial Coherence
  • A Generic Approach to the Filtering of Matrix Fields with Singular PDEs
  • Combining Curvature Motion and Edge-Preserving Denoising
  • Coordinate-Free Diffusion over Compact Lie-Groups
  • Riemannian Curvature-Driven Flows for Tensor-Valued Data
  • A Variational Framework for Spatio-temporal Smoothing of Fluid Motions
  • Super-Resolution Using Sub-band Constrained Total Variation
  • Non-negative Sparse Modeling of Textures
  • Texture Synthesis and Modification with a Patch-Valued Wavelet Transform
  • A Variational Framework for the Simultaneous Segmentation and Object Behavior Classification of Image Sequences
  • Blur Invariant Image Priors
  • A Variational Framework for Adaptive Satellite Images Segmentation
  • Piecewise Constant Level Set Method for 3D Image Segmentation
  • Histogram Based Segmentation Using Wasserstein Distances
  • Efficient Segmentation of Piecewise Smooth Images
  • Space-Time Segmentation Based on a Joint Entropy with Estimation of Nonparametric Distributions
  • Region Based Image Segmentation Using a Modified Mumford-Shah Algorithm
  • Total Variation Minimization and Graph Cuts for Moving Objects Segmentation
  • Curve Evolution in Subspaces
  • Identification of Grain Boundary Contours at Atomic Scale
  • Solving the Chan-Vese Model by a Multiphase Level Set Algorithm Based on the Topological Derivative
  • A Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces
  • Motion Compensated Video Super Resolution
  • Kullback Leibler Divergence Based Curve Matching Method
  • Beauty with Variational Methods: An Optic Flow Approach to Hairstyle Simulation
  • A Variational Approach for 3D Motion Estimation of Incompressible PIV Flows
  • Detecting Regions of Dynamic Texture
  • A Method for the Transport and Registration of Images on Implicit Surfaces
  • Direct Shape-from-Shading with Adaptive Higher Order Regularisation
  • 3D Object Recognition by Eigen-Scale-Space of Contours
  • Towards Segmentation Based on a Shape Prior Manifold
  • Geometric Sampling of Manifolds for Image Representation and Processing
  • Modeling Foveal Vision.

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