top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Scale space and variational methods in computer vision : second international conference, SSVM 2009, Voss, Norway, June 1-5, 2009 ; proceedings / / Xue-Cheng Tai ... [et al.] (eds.)
Scale space and variational methods in computer vision : second international conference, SSVM 2009, Voss, Norway, June 1-5, 2009 ; proceedings / / Xue-Cheng Tai ... [et al.] (eds.)
Edizione [1st ed. 2009.]
Pubbl/distr/stampa Berlin, : Springer, 2009
Descrizione fisica 1 online resource (XIV, 870 p.)
Disciplina 006.37
Altri autori (Persone) TaiXue-Cheng
Collana Lecture notes in computer science
Soggetto topico Computer vision - Mathematics
Computer vision - Methodology
Image processing - Digital techniques
ISBN 1-280-38295-3
9786613560865
3-642-02256-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Segmentation and Detection -- Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image Segmentation -- Tubular Anisotropy Segmentation -- An Unconstrained Multiphase Thresholding Approach for Image Segmentation -- Extraction of the Intercellular Skeleton from 2D Images of Embryogenesis Using Eikonal Equation and Advective Subjective Surface Method -- On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems -- The Nonlinear Tensor Diffusion in Segmentation of Meaningful Biological Structures from Image Sequences of Zebrafish Embryogenesis -- Composed Segmentation of Tubular Structures by an Anisotropic PDE Model -- Extrapolation of Vector Fields Using the Infinity Laplacian and with Applications to Image Segmentation -- A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions -- Semi-supervised Segmentation Based on Non-local Continuous Min-Cut -- Momentum Based Optimization Methods for Level Set Segmentation -- Optimization of Divergences within the Exponential Family for Image Segmentation -- Convex Multi-class Image Labeling by Simplex-Constrained Total Variation -- Geodesically Linked Active Contours: Evolution Strategy Based on Minimal Paths -- Validation of Watershed Regions by Scale-Space Statistics -- Adaptation of Eikonal Equation over Weighted Graph -- A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking -- Image Enhancement and Reconstruction -- A Nonlinear Probabilistic Curvature Motion Filter for Positron Emission Tomography Images -- Finsler Geometry on Higher Order Tensor Fields and Applications to High Angular Resolution Diffusion Imaging -- Bregman-EM-TV Methods with Application to Optical Nanoscopy -- PDE-Driven Adaptive Morphology for Matrix Fields -- On Semi-implicit Splitting Schemes for the Beltrami Color Flow -- Multi-scale Total Variation with Automated Regularization Parameter Selection for Color Image Restoration -- Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients -- Projected Gradient Based Color Image Decomposition -- A Dual Formulation of the TV-Stokes Algorithm for Image Denoising -- Anisotropic Regularization for Inverse Problems with Application to the Wiener Filter with Gaussian and Impulse Noise -- Locally Adaptive Total Variation Regularization -- Basic Image Features (BIFs) Arising from Approximate Symmetry Type -- An Anisotropic Fourth-Order Partial Differential Equation for Noise Removal -- Enhancement of Blurred and Noisy Images Based on an Original Variant of the Total Variation -- Coarse-to-Fine Image Reconstruction Based on Weighted Differential Features and Background Gauge Fields -- Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement -- Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise -- A Geometric PDE for Interpolation of M-Channel Data -- An Edge-Preserving Multilevel Method for Deblurring, Denoising, and Segmentation -- Fast Dejittering for Digital Video Frames -- Sparsity Regularization for Radon Measures -- Split Bregman Algorithm, Douglas-Rachford Splitting and Frame Shrinkage -- Anisotropic Smoothing Using Double Orientations -- Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization -- Augmented Lagrangian Method, Dual Methods and Split Bregman Iteration for ROF Model -- The Convergence of a Central-Difference Discretization of Rudin-Osher-Fatemi Model for Image Denoising -- Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering -- L 0-Norm and Total Variation for Wavelet Inpainting -- Total-Variation Based Piecewise Affine Regularization -- Image Denoising by Harmonic Mean Curvature Flow -- Motion Analysis, Optical Flow, Registration and Tracking -- Tracking Closed Curves with Non-linear Stochastic Filters -- A Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation -- A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother -- A Scale-Space Approach to Landmark Constrained Image Registration -- A Variational Approach for Volume-to-Slice Registration -- Hyperbolic Numerics for Variational Approaches to Correspondence Problems -- Surfaces and Shapes -- From a Single Point to a Surface Patch by Growing Minimal Paths -- Optimization of Convex Shapes: An Approach to Crystal Shape Identification -- An Implicit Method for Interpolating Two Digital Closed Curves on Parallel Planes -- Pose Invariant Shape Prior Segmentation Using Continuous Cuts and Gradient Descent on Lie Groups -- A Non-local Approach to Shape from Ambient Shading -- An Elasticity Approach to Principal Modes of Shape Variation -- Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising -- Fast Shape from Shading for Phong-Type Surfaces -- Generic Scene Recovery Using Multiple Images -- Scale Space and Feature Extraction -- Highly Accurate PDE-Based Morphology for General Structuring Elements -- Computational Geometry-Based Scale-Space and Modal Image Decomposition -- Highlight on a Feature Extracted at Fine Scales: The Pointwise Lipschitz Regularity -- Line Enhancement and Completion via Linear Left Invariant Scale Spaces on SE(2) -- Spatio-Featural Scale-Space -- Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data -- On the Rate of Structural Change in Scale Spaces -- Transitions of a Multi-scale Image Hierarchy Tree -- Local Scale Measure for Remote Sensing Images.
Altri titoli varianti SSVM 2009
Record Nr. UNINA-9910484281703321
Berlin, : Springer, 2009
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Variational, geometric, and level set methods in computer vision : Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005 : proceedings / / Nikos Paragios ... [et al.] (eds.)
Variational, geometric, and level set methods in computer vision : Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005 : proceedings / / Nikos Paragios ... [et al.] (eds.)
Edizione [1st ed. 2005.]
Pubbl/distr/stampa Berlin, : Springer, c2005
Descrizione fisica 1 online resource (XII, 372 p.)
Disciplina 006.6
006.37
Altri autori (Persone) ParagiosNikos
Collana Lecture notes in computer science
Soggetto topico Computer vision - Mathematics
Computer vision - Methodology
Image processing - Digital techniques
Classificazione 54.74
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Study of Non-smooth Convex Flow Decomposition -- Denoising Tensors via Lie Group Flows -- Nonlinear Inverse Scale Space Methods for Image Restoration -- Towards PDE-Based Image Compression -- Color Image Deblurring with Impulsive Noise -- Using an Oriented PDE to Repair Image Textures -- Image Cartoon-Texture Decomposition and Feature Selection Using the Total Variation Regularized L 1 Functional -- Structure-Texture Decomposition by a TV-Gabor Model -- From Inpainting to Active Contours -- Sobolev Active Contours -- Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration -- Entropy Controlled Gauss-Markov Random Measure Field Models for Early Vision -- Global Minimization of the Active Contour Model with TV-Inpainting and Two-Phase Denoising -- Combined Geometric-Texture Image Classification -- Heuristically Driven Front Propagation for Geodesic Paths Extraction -- Trimap Segmentation for Fast and User-Friendly Alpha Matting -- Uncertainty-Driven Non-parametric Knowledge-Based Segmentation: The Corpus Callosum Case -- Dynamical Statistical Shape Priors for Level Set Based Sequence Segmentation -- Non-rigid Shape Comparison of Implicitly-Defined Curves -- Incorporating Rigid Structures in Non-rigid Registration Using Triangular B-Splines -- Geodesic Image Interpolation: Parameterizing and Interpolating Spatiotemporal Images -- A Variational Approach for Object Contour Tracking -- Implicit Free-Form-Deformations for Multi-frame Segmentation and Tracking -- A Surface Reconstruction Method for Highly Noisy Point Clouds -- A C 1 Globally Interpolatory Spline of Arbitrary Topology -- Solving PDEs on Manifolds with Global Conformal Parametriazation -- Fast Marching Method for Generic Shape from Shading -- A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints -- Regularization of Mappings Between Implicit Manifolds of Arbitrary Dimension and Codimension -- Lens Distortion Calibration Using Level Sets.
Altri titoli varianti VLSM 2005
Record Nr. UNINA-9910483821303321
Berlin, : Springer, c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui