Meta, A.
* Signal Processing for FMCW SAR
Metakides, G.
* Challenges for a Human-centered Information Society
Metari, S.
* New Classes of Radiometric and Combined Radiometric-Geometric Invariant Descriptors
* New Convolution Kernel for Atmospheric Point Spread Function Applied to Computer Vision, A
Metaxas, D.[Dimitri]
* 3D Human Body Model Acquisition from Multiple Views
* Active Part-Decomposition, Shape and Motion Estimation of Articulated Objects: A Physics-based Approach
* Adaptive Model Evolution Using Blending
* Adjusting Shape Parameters Using Model-Based Optical Flow Residuals
* Affine Arithmetic Based Estimation of Cue Distributions in Deformable Model Tracking
* Algorithmic issues in modeling motion
* ASL Recognition Based on a Coupling Between HMMs and 3D Motion Analysis
* Blended Deformable Models
* Combining Discrete and Continuous 3D Trackers
* Combining Information using Hard Constraints
* Conditional models for contextual human motion recognition
* Conscious Observer: A Coordinated Effort in Computer Vision, A
* Coupled Lighting Direction and Shape Estimation from Single Images
* Deformable Model and HMM-Based Tracking, Analysis, and Recognition of Gestures and Faces
* Deformable Model-Based Shape and Motion Analysis from Images using Motion Residual Error
* Deformable models with parameter functions for cardiac motion analysis from tagged MRI data
* Deformable Models With Parameter Functions: Application to Heart-Wall Modeling
* Directed acyclic graph representation of deformable models
* Facial Tracking and Animation Using a 3D Sensor
* Framework for Motion Recognition with Applications to American Sign Language and Gait Recognition, A
* Framework for Recognizing the Simultaneous Aspects of American Sign Language, A
* Handshapes and Movements: Multiple-Channel American Sign Language Recognition
* Human Gait Recognition
* Human gait recognition at sagittal plane
* Human Motion Understanding, Modelling, Capture, and Animation
* Hybrid Image Registration based on Configural Matching of Scale-Invariant Salient Region Features
* Incorporating Illumination Constraints in Deformable Models
* Incorporating illumination constraints in deformable models for shape from shading and light direction estimation
* Inferring 2D Object Structure from the Deformation of Apparent Contours
* Learning Joint Top-Down and Bottom-up Processes for 3D Visual Inference
* Learning Multi-category Classification in Bayesian Framework
* Learning-based dynamic coupling of discrete and continuous trackers
* Model-Based Estimation of 3D Human Motion
* Model-Based Estimation of 3D Human Motion with Occlusion Based on Active Multi-Viewpoint Selection
* New Approach to Tracking 3D Objects in 2D Image Sequences, A
* Optimization and Learning for Registration of Moving Dynamic Textures
* Outlier Rejection in Deformable Model Tracking
* Outlier rejection in high-dimensional deformable models
* Parallel Hidden Markov Models for American Sign Language Recognition
* Patch-Based Texture Edges and Segmentation
* Physics-Based Object Pose and Shape Estimation from Multiple Views
* Physics-Based Tracking of 3D Objects in 2D Image Sequences
* PLAYBOT: A Visually-Guided Robot for Physically Disabled Children
* Reconstruction of a Color Image from Nonuniformly Distributed Sparse and Noisy Data
* RO-SVM: Support Vector Machine with Reject Option for Image Categorization
* Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction
* Shape Evolution with Structural and Topological Changes Using Blending
* Simultaneous image transformation and sparse representation recovery
* Spectral Latent Variable Models for Perceptual Inference
* Statistical cue integration in DAG deformable models
* Three-Dimensional Human Body Model Acquisition from Multiple Views
* Toward Scalability in ASL Recognition: Breaking Down Signs into Phonemes
* Using the Pn Potts model with learning methods to segment live cell images
* Variable Albedo Surface Reconstruction from Stereo and Shape from Shading
* Volumetric Deformable Models with Parameter Functions: A New Approach to the 3D Motion Analysis of the LV from MRI-SPAMM
Includes: Metaxas, D.[Dimitri] Metaxas, D. Metaxas, D.[Dimitris]
55 for Metaxas, D.
Metaxas, D.N.[Dimitris N.]
* Home Page.
* email: Metaxas, D.N.[Dimitris N.]: dnm AT cs.rutgers.edu
* 3D facial tracking from corrupted movie sequences
* Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI
* Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models, The
* BM³E : Discriminative Density Propagation for Visual Tracking
* Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition
* Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
* Component Based Deformable Model for Generalized Face Alignment, A
* Conditional Random Fields for Contextual Human Motion Recognition
* Constraining Deformable Superquadrics and Nonrigid Motion Tracking
* Coupling CRFs and Deformable Models for 3D Medical Image Segmentation
* CRF-driven Implicit Deformable Model
* Deformable model-based face shape and motion estimation
* Deformable Models for Segmentation, 3D Shape and Motion Estimation and Recognition
* Deformable Models, Guest Editors Introduction
* Deformable-Model Based Textured Object Segmentation
* Digital Clones and Virtual Celebrities: Facial Tracking, Gesture Recognition and Animation for the Movie Industry
* Discriminative Density Propagation for 3D Human Motion Estimation
* Dynamic 3D Models with Local and Global Deformations: Deformable Superquadrics
* Elastically Adaptive Deformable Models
* Embedded Profile Hidden Markov Models for Shape Analysis
* Emblem Detections by Tracking Facial Features
* Face Mis-alignment Analysis by Multiple-Instance Subspace
* Facial expression recognition using encoded dynamic features
* Fast algorithms for large scale conditional 3D prediction
* graphical model framework for coupling MRFs and deformable models, A
* Guest Editorial: Medical Imaging Informatics: An Information Processing From Image Formation To Visualization
* Hierarchical Framework For High Resolution Facial Expression Tracking, A
* Hierarchical Shape Representation Using Locally Adaptive Finite Elements
* Hybrid Deformable Models for Medical Segmentation and Registration
* hybrid face recognition method using markov random fields, A
* Hybrid Framework for Image Segmentation Using Probabilistic Integration of Heterogeneous Constraints, A
* Image Segmentation Based on the Integration of Pixel Affinity and Deformable Models
* Improving the Scope of Deformable Model Shape and Motion Estimation
* Incremental Model-Based Estimation Using Geometric Consistency Constraints
* Incremental Model-Based Estimation Using Geometric Constraints
* Integrating Qualitative and Quantitative Shape Recovery
* Integration of Gibbs prior models and deformable models for 3D medical image segmentation
* Integration of Optical Flow and Deformable Models: Applications to Human Face Shape and Motion Estimation, The
* Integration of Quantitative and Qualitative Techniques for Deformable Model Fitting from Orthographic, Perspective, and Stereo Projections
* Large Scale Learning of Active Shape Models
* Learning Framework for the Automatic and Accurate Segmentation of Cardiac Tagged MRI Images, A
* Meshless deformable models for LV motion analysis
* Metamorphs: Deformable Shape and Appearance Models
* Metamorphs: deformable shape and texture models
* Model-based integration of visual cues for hand tracking
* Multilevel Shape Representation Using Global Deformations and Locally Adaptive Finite-Elements
* new spatio-temporal MRF framework for video-based object segmentation, A
* Nonlinear Dynamic Shape and Appearance Models for Facial Motion Tracking
* Object Representation for Object Recognition
* Optical Flow Constraints on Deformable Models with Applications to Face Tracking
* Physics-Based Deformable Models Applications to Computer Vision, Graphics and Medical Imaging
* Physics-Based Framework for Segmentation, Shape and Motion Estimation, A
* Physics-Based Modeling of Nonrigid Objects for Vision and Graphics
* Profile Hidden Markov Model Framework for Modeling and Analysis of Shape, A
* Realistic Animation of Liquids
* Recognizing Facial Expressions by Tracking Feature Shapes
* Reconstruction of Detailed Left Ventricle Motion from tMRI Using Deformable Models
* Recursive Estimation of Shape and Nonrigid Motion
* Robust Online Change-point Detection in Video Sequences
* Role of Model-Based Segmentation in the Recovery of Volumetric Parts from Range Data, The
* Segmentation Using Deformable Models with Affinity-Based Localization
* Shape and Nonrigid Motion Estimation through Physics-Based Synthesis
* Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations
* Shape Representation and Nonrigid Motion Tracking Using Deformable Superquadrics
* Shape Representation and Recovery Using Deformable Superquadrics
* Similarity Features for Facial Event Analysis
* Tracking Facial Features Using Mixture of Point Distribution Models
* Unified Framework of Subspace and Distance Metric Learning for Face Recognition, A
* Using multiple cues for hand tracking and model refinement
Includes: Metaxas, D.N.[Dimitris N.] Metaxas, D.N. Metaxas, D.N.[Dimitis N.] Metaxas, D.N.[Dimitri N.]
71 for Metaxas, D.N.
Metaxas, M.G.[Marinos G.]
* Adaptive Image Content-Based Exposure Control for Scanning Applications in Radiography
Metes, P.
* Hyperspectral Face Database
* Imaging Through Scattering Media
* Multi-Spectral Imaging Filters
Meth, R.[Reuven]
* email: Meth, R.[Reuven]: meth AT cfar.umd.edu
* Classification and Indexing of Targets in Synthetic Aperture Radar Imagery Using Topographic Features
* Fast Hyperspectral Anomaly Detection via SVDD
* Model-Supported Exploitation of SAR Imagery
* Registration and Exploitation of Multi-pass Airborne Synthetic Aperture Radar Images
* Stability and Sensitivity of Topographic Features for SAR Target Characterization
* Stability and sensitivity of topographic features for synthetic aperture radar target characterization
* Use of Context for False Alarm Reduction in SAR Automatic Target Recognition
Includes: Meth, R.[Reuven] Meth, R.
8 for Meth, R.
Methasate, I.
* feature combination technique for off-line Thai character recognition system, The
Metoyer, R.A.[Ronald A.]
* Reactive pedestrian path following from examples
Metrtzios, B.G.
* Implementation of morphological filters using coordinate logic operations
Metsamaki, S.J.[Sari J.]
* Accuracy Assessment of SAR Data-Based Snow-Covered Area Estimation Method
* Snow-Covered Area Estimation Using Satellite Radar Wide-Swath Images
Metta, G.
* Disparity Estimation on Log-Polar Images and Vergence Control
* Learning Association Fields from Natural Images
* Object-based Visual Attention: a Model for a Behaving Robot
* Robust Visual Servoing in 3-D Reaching Tasks
* Role of Vision in Two-Arms Manipulation, The
* Vision-Based Learning Method for Pushing Manipulation, A
Includes: Metta, G. Metta, G.[Giorgio]
Mettala, E.
* Application of the Scenario-Based Engineering Process to the Unmanned Ground Vehicle Project
* Scenario-based Engineering Process for Reconnaissance, Surveillance, and Target Acquisition
Includes: Mettala, E. Mettala, E.[Erik]
Metternicht, G.[Graciela]
* Change detection assessment using fuzzy sets and remotely sensed data: an application of topographic map revision
* Performance of Fuzzy Operators on Fuzzy Classification of Urban Land Covers, The
Includes: Metternicht, G.[Graciela] Metternicht, G.
Metz Lutz, M.N.
* Unsupervised Learning and Mapping of Active Brain Functional MRI Signals Based on Hidden Semi-Markov Event Sequence Models
Includes: Metz Lutz, M.N. Metz-Lutz, M.N.
Metz, C.E.
* Exponential Radon Transform, The
* Hypervolume Under the ROC Hypersurface of Near-Guessing and Near-Perfect Observers in N-Class Classification Tasks, The
* Ideal observer approximation using bayesian classification neural networks
* Ideal Observers and Optimal ROC Hypersurfaces in N-Class Classification
* Noniterative Methods and Their Noise Characteristics in 2D SPECT Image-Reconstruction
* Optimization of Restricted ROC Surfaces in Three-Class Classification Tasks
* Restrictions on the three-class ideal observer's decision boundary lines
* Three-Class ROC Analysis: A Decision Theoretic Approach Under the Ideal Observer Framework
8 for Metz, C.E.
Metz, L.H.W.
* Characteristic Quantities of Microvascular Structures in CLSM Volume Datasets
Metze, F.[Florian]
* Large Vocabulary Audio-Visual Speech Recognition Using the Janus Speech Recognition Toolkit
Metzen, J.H.[Jan Hendrik]
* Matching of Tree Structures for Registration of Medical Images
Metzler, D.[Donald]
* Inference Network Approach to Image Retrieval, An
Metzler, S.D.
* Analytic determination of pinhole collimator sensitivity with penetration
* Analytic determination of the pinhole collimator's point-spread function and RMS resolution with penetration
* Analytic Determination of the Resolution-Equivalent Effective Diameter of a Pinhole Collimator
* Derivation and Validation of a Sensitivity Formula for Slit-Slat Collimation
* Determination of Mechanical and Electronic Shifts for Pinhole SPECT Using a Single Point Source
* Molecular imaging of small animals with a triple-head SPECT system using pinhole collimation
* Resolution-effective diameters for asymmetric-knife-edge pinhole collimators
7 for Metzler, S.D.
Metzler, V.
* novel object-oriented approach to image analysis and retrieval, A
* Texture Classification of Graylevel Images by Multiscale Cross-cooccurrence Matrices