Zeraati, M.
* Vibration Mode Imaging
Zerai, M.[Mourad]
* Riemannian Curvature-Driven Flows for Tensor-Valued Data
Includes: Zerai, M.[Mourad] Zéraï, M.[Mourad]
Zergainoh, A.
* Compactly Supported Non-Uniform Spline Wavelet for Irregularly Sub-Sampled Image Representation
Zergeroglu, E.
* Adaptive tracking control of a wheeled mobile robot via an uncalibrated camera system
Zerhouni, E.
* Central Axis Algorithm for 3D Bronchial Tree Structures, A
* Corresponding 3D Pulmonary Tree Structures
Zerhouni, E.A.
* Interactive Visualization for Rapid Noninvasive Cardiac Assessment
Zerkalov, L.G.[Leonid G.]
* Algorithms for Homotopy Classification of Binary Images
* Index of a point of 3-D digital binary image and algorithm for computing its Euler characteristic
* New Connected Components Algorithms and Invariant Transformations of Digital Images
Zernike, F.
* Diffraction theory of the cut procedure and its improved form, the phase contrast method
Zerr, B.
* Three-dimensional reconstruction of underwater objects from a sequence of sonar images
Zerr, D.
* use of high-resolution imagery for identification of urban climax forest species using traditional and rule-based classification approach, The
Zerroug, M.[Mourad]
* email: Zerroug, M.[Mourad]: zerrougm AT webvision.com
* challenge of generic object recognition, The
* From an Intensity Image to 3-D Segmented Descriptions
* Part-Based 3D Descriptions of Complex Objects from a Single Image
* Pose Estimation of Multi-Part Curved Objects
* Quasi-Invariant Properties and 3-D Shape Recovery of Non-Straight, Non-Constant Generalized Cylinders
* Recovery of Three-Dimensional Shape of Curved Objects from a Single Image
* Scene Segmentation and Volumetric Descriptions of SHGCs from a Single Intensity Image
* Segmentation and 3-D Recovery of Curved-Axis Generalized Cylinders from an Intensity Image
* Segmentation and Recovery of SHGCS from a Real Intensity Image
* Three-Dimensional Descriptions Based on the Analysis of the Invariant and Quasi-Invariant Properties of Some Curved-Axis Generalized Cylinders
* Three-Dimensional Part-Based Descriptions from a Real Intensity Image
* Volumetric Descriptions from a Single Intensity Image
Includes: Zerroug, M.[Mourad] Zerroug, M.
13 for Zerroug, M.
Zerubia, J.[Josiane]
* email: Zerubia, J.[Josiane]: josiane.zerubia AT inria.fr
* 3D super-resolution using generalized sampling expansion
* Adaptive Gaussian Model for Satellite Image Deblurring, An
* Building reconstruction from a single DEM
* Estimation of Adaptive Parameters for Satellite Image Deconvolution
* Fully Unsupervised Fuzzy Clustering with Entropy Criterion
* Hierarchical Texture Model for Unsupervised Segmentation of Remotely Sensed Images, A
* Hyperparameter estimation for satellite image restoration using a MCMC maximum-likelihood method
* Image Deconvolution Using Hidden Markov Tree Modeling of Complex Wavelet Packets
* Reconstruction of High Resolution 3D Visual Information Using Sub-pixel Camera Displacements
* SAR Image Filtering Based on the Heavy-Tailed Rayleigh Model
* Satellite and aerial image deconvolution using an EM method with complex wavelets
* Satellite Image Deblurring Using Complex Wavelet Packets
* Satellite Image Deconvolution Using Complex Wavelet Packets
* Sub-pixel Bayesian-Estimation of Albedo and Height
* Sub-pixel Reconstruction of a Variable Albedo Lambertian Surface
* Subpixel Image Registration by Estimating the Polyphase Decomposition of the Cross Power Spectrum
* Super-Resolution with Adaptive Regularization
* Two Markov point processes for simulating line networks
* Universal Knowledge-Based Imaging System for Hazardous Environments, A
* Unsupervised deconvolution of satellite images
Includes: Zerubia, J.[Josiane] Zerubia, J.
21 for Zerubia, J.
Zerubia, J.B.[Josiane B.]
* 2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes
* 3D City Modeling Based on Hidden Markov Model
* Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images
* Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application
* Analyse de texture hyperspectrale par modélisation markovien
* Analyse intra-urbaine à partir d'images satellitaires par une approche de fusion de données sur la ville de Mexico
* Automatic 3D land register extraction from altimetric data in dense urban areas
* Automatic building extraction from DEMs using an object approach and application to the 3D-city modeling
* Automatic Building Reconstruction Method: A Structural Approach using High Resolution Satellite Images, An
* Bayesian Image Classification Using Markov Random-Fields
* binary tree-structured MRF model for multispectral satellite image segmentation, A
* Building Detection by Markov Object Processes
* Building Detection by Markov Object processes and a MCMC Algorithm
* Building Extraction from Digital Elevation Model
* Building Outline Extraction from Digital Elevation Models Using Marked Point Processes
* Classical Mechanics and Road Detection in SPOT Images
* Comparative Study of Point Processes for Line Network Extraction i, A
* cooperative network for contour grouping, A
* Deformation of a Cartographic Road Network on a SPOT Satellite Image
* Dictionary-Based Stochastic Expectation-Maximization for SAR Amplitude Probability Density Function Estimation
* DPA: a deterministic approach to the MAP problem
* Estimation of Markov Random Field Prior Parameters Using Markov Chain Monte Carlo Maximum Likelihood
* Extended Phase Field Higher-Order Active Contour Model for Networks and Its Application to Road Network Extraction from VHR Satellite Images, An
* Extension of phase correlation to subpixel registration
* Extraction of Main and Secondary Roads in VHR Images Using A Higher-Order Phase Field Model
* Fully Bayesian Image Segmentation: An Engineering Perspective
* Gap closure in (road) networks using higher-order active contours
* gauss-markov model for hyperspectral texture analysis of urban areas, A
* Gibbs Point Process for Road Extraction from Remotely Sensed Images, A
* Guest editors' Introduction to the special section on energy minimization methods in computer vision and pattern recognition
* Hierarchical Markov Random-Field Model and Multitemperature Annealing for Parallel Image Classification, A
* Higher Order Active Contours
* Higher-Order Active Contour Energies for Gap Closure
* Higher-Order Active Contour Model for Tree Detection, A
* Image retrieval and indexing: a hierarchical approach in computing the distance between textured images
* Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network Architectures
* Improved Gas of Circles Higher-Order Active Contour Model and Its Application to Tree Crown Extraction, An
* Improved RJMCMC point process sampler for object detection on images by simulated annealing
* Level Set Model for Image Classification, A
* Local registration and deformation of a road cartographic database on a SPOT satellite image
* Marked Point Process Model for Tree Crown Extraction in Plantations, A
* Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models, A
* Markovian Model for Contour Grouping, A
* Mean Field Annealing Using Compound Gauss-Markov Random Fields for Edge Detection and Image Estimation
* Modeling SAR Images With a Generalization of the Rayleigh Distribution
* Models of the Unimodal and Multimodal Statistics of Adaptive Wavelet Packet Coefficients
* Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs, A
* Multi-temperature annealing: a new approach for the energy-minimization of hierarchical Markov random field models
* Multigrid MRF based picture segmentation with cellular neural networks
* Multiscale Markov Random Field Models for Parallel Image Classification
* New Computationally Efficient Stochastic Approach for Building Reconstruction from Satellite Data, A
* New Higher-Order Active Contour Energies for Network Extraction
* New Prospects in Line Detection by Dynamic-Programming
* New Prospects in Line Detection for Remote Sensing Images
* Non-Bayesian Model for Tree Crown Extraction using Marked Point Processes, A
* Object point processes for image segmentation
* Parametric Model for Automatic 3D Building Reconstruction from high resolution Satellite Images, A
* phase field model incorporating generic and specific prior knowledge applied to road network extraction from VHR satellite images, A
* Phase Field Models and Higher-Order Active Contours
* Point Processes for Unsupervised Line Network Extraction in Remote Sensing
* Point processes in forestry: an application to tree crown detection
* Probabilistic Framework for Adaptive Texture Description, A
* Road network extraction in remote sensing by a Markov object process
* SAR Amplitude Probability Density Function Estimation Based on a Generalized Gaussian Model
* Segmentation of remote-sensing images by supervised TS-MRF
* Segmentation of Textured Satellite and Aerial Images by Bayesian Inference
* Simultaneous Image Classification and Restoration Using a Variational Approach
* Skewed -stable distributions for modelling textures
* Supervised segmentation of remote sensing images based on a tree-structured MRF model
* Textural Kernel for SVM Classification in Remote Sensing: Application to Forest Fire Detection and Urban Area Extraction
* Texture Analysis through a Markovian Modelling and Fuzzy Classification: Application to Urban Area Extraction from Satellite Images
* Texture Analysis through Markov Random Fields: Urban Areas Extraction
* Texture analysis using adaptive biorthogonal wavelet packets
* Texture analysis: an adaptive probabilistic approach
* Texture discrimination using multimodal wavelet packet subbands
* Texture-Adaptive Mother Wavelet Selection for Texture Analysis
* Two Variational Models for Multispectral Image Classification
* Unsupervised Parallel Image Classification Using a Hierarchical Markovian Model
* Unsupervised parallel image classification using Markovian models
* Variational Model for Image Classification and Restoration, A
Includes: Zerubia, J.B.[Josiane B.] Zerubia, J.B.
80 for Zerubia, J.B.
Zervakis, M.
* Nonlinear Enhancement and Segmentation Algorithm for the Detection of Age-related Macular Degeneration (AMD) in Human Eye's Retina
* survey of video processing techniques for traffic applications, A
Zervakis, M.E.[Michalis E.]
* Adaptive Methods for Motion Characterization and Segmentation of MPEG Compressed Frame Sequences
* Bayesian Framework for Multilead SMD Post-Placement Quality Inspection, A
* Bayesian image analysis framework for post-placement quality inspection of components, A
* class of robust entropic functionals for image restoration, A
* Operator decomposition using the wavelet transform: Fundamental properties and image restoration applications
* survey on industrial vision systems, applications and tools, A
* Vector processing of wavelet coefficients for robust image denoising
* Wavelet-Domain Algorithm for Denoising in the Presence of Noise Outliers, A
Includes: Zervakis, M.E.[Michalis E.] Zervakis, M.E.
8 for Zervakis, M.E.
Zervas, N.D.
* Evaluation of design alternatives for the 2-D-discrete wavelet transform
* Local Wavelet Transform Implementation Versus an Optimal Row-column Algorithm for the 2-D Multilevel Decomposition, A
* Memory Hierarchy Exploration for Low Power Architectures in Embedded Multimedia Applications
* Power, Performance and Area Exploration of Block Matching Algorithms Mapped on Programmable Processors
Zervos, N.
* Image Compression Based on Fuzzy Algorithms for Learning Vector Quantization and Wavelet Image Decomposition