*ScaleSpace01*
* ***Scale Space**

* accurate operator splitting scheme for nonlinear diffusion filtering, An

* Adjunctions in pyramids and curve evolution

* Algebraic and PDE approaches for multi-scale image operators with global constraints: reference semi-lattice erosions and levelings

* Bayesian object detection through level curves selection

* Bilateral Filtering and Anisotropic Diffusion: Towards a Unified Viewpoint

* Color differential structure

* Combing porcupine via stereographic direction diffusion

* Complex diffusion processes for image filtering

* Computing optic flow by scale-space integration of normal flow

* Down-scaling for better transform compression

* Exploring nonlinear diffusion: the diffusion echo

* Fast statistical level sets image segmentation for biomedical applications

* Features in scale-space: progress on the 2D 2nd order jet

* Gaussian convolutions: numerical approximations based on interpolation

* Generic multi-scale segmentation and curve approximation method

* Geodesic active contours applied to texture feature space

* Geometry motivated variational segmentation for color images

* Hierarchical segmentation using dynamics of multi-scale color gradient watersheds

* Hierarchies of partitions and morphological segmentation

* Image analysis for using histograms of infinitestimal neighbourhoods

* Image Registration, Optical Flow and Local Rigidity

* Indentation and protrusion detection and its applications

* influence of the g-parameter on feature detection with automatic scale selection, The

* Inverse quantization of digital binary images for resolution conversion

* Inverse scale-space theory for inverse problems

* Morphological tools for robust key region extraction and video shot modeling

* multi-scale feature likelihood map for direct evaluation of object hypotheses, A

* note on two classical shock filters and their asymptotics, A

* On the behavior of spatial critical points under Gaussian blurring

* Polyhedral set operations for 3D discrete object deformation

* Robust multi-scale non-rigid registration of 3D ultrasound images

* Scale-space theories for scalar and vector images

* Scale-spaces, PDE's, and scale invariance

* Scale-time kernels and models

* Segmentation of shapes

* Segmentation-free estimation of length distributions using sieves and RIA morphology

* Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering

* Total variation based oversampling of noisy images

* Tracking of multi-state hand models using particle filtering and a hierarchy of multi-scale image features

* Using the vector distance functions to evolve manifolds of arbitrary codimension

* What do features tell about images?

42 for ScaleSpace01

*ScaleSpace03*
* ***Scale Space**

* Alpha Scale Spaces on a Bounded Domain

* Approximating Non-linear Diffusion

* Basic Morphological Operations, Band-Limited Images and Sampling

* Common Viewpoint on Broad Kernel Filtering and Nonlinear Diffusion, A

* Comparing Objective and Subjective Quality Results for Compression Pre-processing with Non-linear Diffusion

* Complete System of Measurement Invariants for Abelian Lie Transformation Groups, A

* Computation of Generic Features for Object Classification

* Content Based Image Retrieval Using Multiscale Top Points: A Feasibility Study

* Continuous Curve Matching with Scale-Space Curvature and Extrema-Based Scale Selection

* Convex Colour Sieves

* Correspondences between Wavelet Shrinkage and Nonlinear Diffusion

* Detection and Localization of Random Signals

* Efficient and Consistent Recursive Filtering of Images with Reflective Extension

* Efficient Beltrami Flow Using a Short Time Kernel

* Equivalence Results for TV Diffusion and TV Regularisation

* Error-Bounds on Curvature Estimation

* Evolution of the Critical Points in the Curvature and Affine Morphological Scale Spaces

* Explanation for the Logarithmic Connection between Linear and Morphological Systems, An

* Extrema Edges, The

* Families of Generalised Morphological Scale Spaces

* Fast Computation of Scale Normalised Gaussian Receptive Fields

* Feature Coding with a Statistically Independent Cortical Representation

* Fully Automatic Segmentation of MRI Brain Images Using Probabilistic Anisotropic Diffusion and Multi-scale Watersheds

* Gaussian Scale Space from Insufficient Image Information

* Generalized Discrete Scale-Space Formulation for 2-D and 3-D Signals, A

* Image Decomposition Application to SAR Images

* Image Reconstruction from Multiscale Critical Points

* Interest Point Detection and Scale Selection in Space-Time

* Iris Feature Extraction and Matching Based on Multiscale and Directional Image Representation

* Least Squares and Robust Estimation of Local Image Structure

* Many-to-Many Matching of Scale-Space Feature Hierarchies Using Metric Embedding

* MAPS: Multiscale Attention-Based PreSegmentation of Color Images

* Markov Random Field Approach to Multi-scale Shape Analysis, A

* Maximum Principle for Beltrami Color Flow, The

* Mode Estimation Using Pessimistic Scale Space Tracking

* Monogenic Scale Space on a Bounded Domain and Its Applications, The

* Multiphase Level Set Framework for Motion Segmentation, A

* Multiresolution Approach to Biomedical Image Segmentation with Statistical Models of Appearance

* On Manifolds in Gaussian Scale Space

* On the Number of Modes of a Gaussian Mixture

* PDE Based Shape from Specularities

* Properties of Brownian Image Models in Scale-Space

* Real-Time Scale Selection in Hybrid Multi-scale Representations

* Regularity Classes for Locally Orderless Images

* Regularizing a Set of Unstructured 3D Points from a Sequence of Stereo Images

* Scale Space for Contour Registration Using Minimal Surfaces, A

* Scale-Space Image Analysis Based on Hermite Polynomials Theory

* Scale-Space on Image Profiles about an Object Boundary

* Segmentation of Coarse and Fine Scale Features Using Multi-scale Diffusion and Mumford-Shah

* Shape Description Using Gradient Vector Field Histograms

* Temporal Scale Spaces

* Temporal Structure Tree in Digital Linear Scale Space

* Texture Classification through Multiscale Orientation Histogram Analysis

* Towards Recognition-Based Variational Segmentation Using Shape Priors and Dynamic Labeling

* Using the Complex Ginzburg-Landau Equation for Digital Inpainting in 2D and 3D

* Variational Dense Motion Estimation Using the Helmholtz Decomposition

57 for ScaleSpace03

*ScaleSpace05*
* ***Scale Space**

* Active Shape Models and Segmentation of the Left Ventricle in Echocardiography

* Analysis of Variational Alignment of Curves in Images, An

* Contrast Invariant Approach to Motion Estimation, A

* Denoising of Audio Data by Nonlinear Diffusion

* Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time

* Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation

* Discrete Representation of Top Points via Scale Space Tessellation

* Enhancing Images Painted on Manifolds

* Estimation of the Optimal Variational Parameter via SNR Analysis

* Figure Field Analysis of Linear Scale-Space Image

* Four-Pixel Scheme for Singular Differential Equations, A

* Geometric Formulation of Gradient Descent for Variational Problems with Moving Surfaces, A

* Geometry of Isophote Curves

* GET: The Connection Between Monogenic Scale-Space and Gaussian Derivatives

* Image Deblurring in the Presence of Salt-and-Pepper Noise

* Image Features and the 1-D, 2nd Order Gaussian Derivative Jet

* Isometric Embedding of Facial Surfaces into S3

* Linear Image Reconstruction Framework Based on Sobolev Type Inner Products, A

* Matrix-Valued Filters as Convex Programs

* Multi-scale Singularity Trees: Soft-Linked Scale-Space Hierarchies

* Multigrid Approach to Image Processing, A

* Multiscale Active Contours

* Mumford-Shah Model Based Man-Made Objects Detection from Aerial Images

* New Technique for Local Symmetry Estimation, A

* Non-convex PDE Scale Space, A

* On a Kernels, Lévy Processes, and Natural Image Statistics

* On Image Reconstruction from Multiscale Top Points

* On Similarity-Invariant Fairness Measures

* PDE-Based Deconvolution with Forward-Backward Diffusivities and Diffusion Tensors

* Perfusion Analysis of Nonlinear Liver Ultrasound Images Based on Nonlinear Matrix Diffusion

* Phase Contrast MRI Segmentation Using Velocity and Intensity

* Piecewise Constant Level Set Methods and Image Segmentation

* Regularity and Scale-Space Properties of Fractional High Order Linear Filtering

* Relations Between Higher Order TV Regularization and Support Vector Regression

* Relativistic Scale-Spaces

* Retinex by Two Bilateral Filters

* Riesz-Transforms Versus Derivatives: On the Relationship Between the Boundary Tensor and the Energy Tensor

* Scale Invariant Texture Analysis Using Multi-scale Local Autocorrelation Features

* Scale Space Method for Volume Preserving Image Registration, A

* Scale-Space Analysis of a Contour Figure Using a Crystalline Flow, A

* Scale-Space Generation via Uncertainty Principles

* Skeletons of 3D Shapes

* Sparse Finite Element Level-Sets for Anisotropic Boundary Detection in 3D Images

* Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic PDEs

* Stability of Top-Points in Scale Space

* Stochastic Structure of Images, The

* Structure of Shapes Scale Space Aspects of the (pre-) Symmetry Set, The

* Texture Mapping via Spherical Multi-dimensional Scaling

* Total Variation Motion Adaptive Deinterlacing Scheme, A

* Tree Edit Distances from Singularity Theory

* Two-Step Area Based Method for Automatic Tight Segmentation of Zona Pellucida in HMC Images of Human Embryos, A

* Variational Image Registration Approach Based on Curvature Scale Space, A

* Vortex and Source Particles for Fluid Motion Estimation

54 for ScaleSpace05

*ScaleSpace97*
* ***Scale Space**

* 3D Shape Representation: Transforming Polygons into Voxels

* Directional Anisotropic Diffusion Applied to Segmentation of Vessels in 3D Images

* Dynamic Scale-Space Theories

* Extraction of Structure Feature from Three-Dimensional Object by Scale-Space Analysis

* Fast Adaptive Alternatives to Nonlinear Diffusion in Image Enhancement: Greens Function Approximators and Nonlocal Filters

* Following Feature Lines Across Scale

* From High Energy Physics to Low Level Vision

* Generating Stable Structure Using Scale-Space Analysis with Non-Uniform Gaussian Kernels

* Generic Events for the Gradient Squared with Application to Multi-Scale Segmentation

* Images Loci Are Ridges in Geometric Spaces

* Intrinsic Scale Space for Images on Surfaces: The Geodesic Curvature Flow

* Invertible Orientation Bundles on 2D Scalar Images

* Level Set Methods and the Stereo Problem

* Linear Spatio-Temporal Scale-Space

* Multi-Scale Active Shape Description

* Multi-Scale Contour Segmentation

* Multi-Scale Detection of Characteristic Figure Structures Using Principal Curvatures of Image Gray-Lever Profile

* Multi-Scale Line Filter with Automatic Scale Selection Based on the Hessian Matrix for Medical Image Segmentation, A

* Multi-Spectral Probabilistic Diffusion Using Bayesian Classification

* Multiscale Measures in Linear Scale-Space for Characterizing Cerebral Functional Activations in 3D PET Difference Images

* New Framework for Hierarchical Segmentation Using Homogeneity Analysis, A

* On Automatic Selection of Temporal Scales in Time-Causal Scale-Space

* On Generalized Entropies and Scale-Space

* On the Duality of Scalar and Density Flows

* On the Handling of Spatial and Temporal Scales in Feature Tracking

* Reconstruction of Self-Similar Functions from Scale-Space

* Recursive Separable Schemes for Nonlinear Diffusion Filters

* Reliable Classification of Chrysanthemum Leaves Through Curvature Scale Space

* review of Nonlinear Diffusion Filtering, A

* Robust Anisotropic Diffusion

* Scale Selection Using Three Different Representations for Images

* Scale Space Analysis by Stabilized Inverse Diffusion Equations

* Scalespace Approach to Shape Similarity, A

* Slowed Anisotropic Diffusion

* Some Morphological Scale-Space Filters and Their Properties

* Supervised Diffusion Parameter Selection for Processing SPECT Brain Images

* Thin Nets Extraction Using a Multi-scale Approach

38 for ScaleSpace97

*ScaleSpace99*
* ***Scale Space**

* active contour model without edges, An

* Adaptive Finite Element Method for Large Scale Image Processing, An

* Adaptive Local Smoothing for Contour Figure Approximation, An

* Applications of Locally Orderless Images

* Blur and Disorder

* Calculations on Critical Points under Gaussian Blurring

* Color Invariant Determination of Material Changes in Reflection and Transmission of Light

* Compact and Multiscale Image Model Based on Level Sets, A

* Computation of Ridges via Pullback Metrics from Scale Space

* Curvature Scale Space with Affine Length Parametrisation

* Decomposition and Hierarchy: Efficient Structural Matching of Large Multi-scale Representations

* Detection of Critical Structures in Scale Space

* Discrete Mean Curvature Flow

* Edges as Outliers: Anisotropic Smoothing using Local Image Statistics

* Fast geodesic active contours

* Fast Marching to Moving Object Location

* Geometric Functional for Gradient Approximation, A

* Geometric Multiscale Representation of Numerical Images

* Geometric-Variational Approach for Color Image Enhancement and Segmentation

* Global Convergence Rates of Nonlinear Diffusion for Time-Varying Images

* Hausdorff Dimension and Scale-Space Normalisation of Natural Images, The

* Hierachical Density Non-rigid Object Analysis

* Lattice Boltzmann Models for Nonlinear Diffusion Filtering

* Level Set Model for Image Classification, A

* Maximal Scale Ridge: Incorporating scale into the ridge definition, The

* Morphing Active Contours

* Morphological Scale Space and Mathematical Morphology

* Morphological scale-space representation with levelings

* Multiscale Morphological Segmentations based on Watershed, Flooding, and Eikonal PDE

* Multiscale Taylor Series Approaches to Optic Flow and Stereo: A Generalization of Optic Flow Under the Aperture, A

* Negative Results for Multilevel Preconditioners in Image Deblurring

* new time dependent model based on level set motion for nonlinear deblurring and noise removal, A

* Nonlinear Anisotropic Diffusion in Three-Dimensional Electron Microscopy

* Nonlinear PDEs and Numerical Algorithms for Modeling Levelings and Reconstruction Filters

* Numerical Solution Schemes for Continuous-Scale Morphology

* Polygon Evolution by Vertex Deletion

* Proper scales of shapes - A curved scale space

* Qualitative Multiscale Feature Hierarchies for Object Tracking

* Reconciling Distance Functions and Level Sets

* Region Tracking on Level-Sets Methods

* Riemannian Drums, Anisotropic Curve Evolution, and Segmentation

* Scale Space Range Image Aspect Graph

* Scale space technique for word segmentation in handwritten manuscripts

* Scale-Space Approach for Deformable Contour Optimization, A

* Scale-Space Approach to Nonlocal Optical Flow Calculations, A

* Scale-Space from a Level Lines Tree

* Scale-Space Properties of Regularization Methods

* Scales in natural images and a consequence on their BV norm

* Segmenting by Compression using Linear Scale-Space and Watersheds

* Self-similarity of Noise in scale-space

* Stochastic Scale Space for Multiscale Image Representation, A

* Tracing of Curvilinear Structures in 3D Images with Single Scale Diameter Measurement

* Unfolding the Cerebral Cortex Using Level Set Methods

* Windows-based User Friendly System for Image Analysis with Partial Differential Equations, A

55 for ScaleSpace99

Last update: 9-Jun-21 21:50:28

Use price@usc.edu for comments.