Index for yezz

Yezzi, A. Co Author Listing * Automatic Segmentation of the Left Atrium From MR Images via Variational Region Growing With a Moments-Based Shape Prior
* Complete System for Automatic Extraction of Left Ventricular Myocardium From CT Images Using Shape Segmentation and Contour Evolution, A
* Multiple Object Tracking via Prediction and Filtering with a Sobolev-Type Metric on Curves
* Tracking Using Motion Estimation With Physically Motivated Inter-Region Constraints
* Vessel Tractography Using an Intensity Based Tensor Model With Branch Detection
Includes: Yezzi, A. Yezzi, A.[Anthony]

Yezzi, A.J.[Anthony J.] Co Author Listing * Home Page.
* email: Yezzi, A.J.[Anthony J.]: ayezzi AT ece gatech edu
* 3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination
* 3D Topology Preserving Flows for Viewpoint-Based Cortical Unfolding
* Active geodesics: Region-based active contour segmentation with a global edge-based constraint
* Active polygon for object tracking
* Adjoint Active Surfaces for Localization and Imaging
* Anti-Geometric Diffusion for Adaptive Thresholding and Fast Segmentation
* Anti-geometric Diffusion for Adaptive Thresholding and Segmentation
* Audio-visual flow: A variational approach to multi-modal flow estimation
* Binary and ternary flows for image segmentation
* closed-form expression for thin lens image irradiance, A
* Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours
* Coarse-to-Fine Segmentation with Shape-Tailored Continuum Scale Spaces
* Compact Formula for the Derivative of a 3-D Rotation in Exponential Coordinates, A
* Conformal Metrics and True Gradient Flows for Curves
* Curious snakes: A minimum latency solution to the cluttered background problem in active contours
* Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional, A
* Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
* Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations
* Deformotion: Deforming Motion, Shape Average and the Joint Registration and Approximation of Structures in Images
* DEFORMOTION: Deforming Motion, Shape Average and the Joint Registration and Segmentation of Images
* Detecting Curves with Unknown Endpoints and Arbitrary Topology Using Minimal Paths
* Detection of Curves with Unknown Endpoints using Minimal Path Techniques
* Dynamic Shape and Appearance Modeling via Moving and Deforming Layers
* Estimation of 3D surface shape and smooth radiance from 2D images: A Level Set Approach
* Eulerian PDE Approach for Computing Tissue Thickness, An
* Fast 3D Brain Segmentation Using Dual-Front Active Contours with Optional User-Interaction
* Fast Incorporation of Optical Flow Into Active Polygons
* Fast Surface Segmentation Guided by User Input Using Implicit Extension of Minimal Paths
* Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations, A
* Fully Isotropic Fast Marching Methods on Cartesian Grids
* Geometric Approach To Joint 2d Region-Based Segmentation and 3D Pose Estimation Using A 3d Shape Prior, A
* geometric snake model for segmentation of medical imagery, A
* Global Regularizing Flows With Topology Preservation for Active Contours and Polygons
* Gradient Flows and Geometric Active Contour Models
* Harmonic Embeddings for Linear Shape Analysis
* Hybrid Eulerian-Lagrangian Approach for Thickness, Correspondence, and Gridding of Annular Tissues, A
* Image Sharpening Via Sobolev Gradient Flows
* Implicit Surface Segmentation by Minimal Paths, Applications in 3D Medical Images
* Incorporating complex statistical information in active contour-based image segmentation
* Information-Theoretic Active Polygons for Unsupervised Texture Segmentation
* Integral Invariants for Shape Matching
* Joint Priors for Variational Shape and Appearance Modeling
* Local or Global Minima: Flexible Dual-Front Active Contours
* Localized principal component analysis based curve evolution: A divide and conquer approach
* Model-Based Curve Evolution Technique for Image Segmentation
* Modified Curvature Motion for Image Smoothing and Enhancement
* More-Than-Topology-Preserving Flows for Active Contours and Polygons
* Multi-view stereo beyond Lambert
* Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance
* Multigrid Computation of Rotationally Invariant Non-Linear Optical Flow
* Mumford-Shah on the Move: Region-Based Segmentation on Deforming Manifolds with Application to 3-D Reconstruction of Shape and Appearance from Multi-View Images
* Mumford-Shah Style Unified Framework for Layering: Pitfalls and Solutions, A
* New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering, A
* New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images, A
* New Possibilities in Image Diffusion and Sharpening via High-Order Sobolev Gradient Flows
* New Possibilities with Sobolev Active Contours
* Non-Euclidean image-adaptive Radial Basis Functions for 3D interactive segmentation
* Non-rigid 2D-3D pose estimation and 2D image segmentation
* Nonparametric methods for image segmentation using information theory and curve evolution
* nonparametric statistical method for image segmentation using information theory and curve evolution, A
* Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation, A
* Numerical Conditioning Problems and Solutions for Nonparametric I.I.D. Statistical Active Contours
* One-Shot Integral Invariant Shape Priors for Variational Segmentation
* Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects
* PDE Approach for Measuring Tissue Thickness, A
* PDE Approach for Thickness, Correspondence, and Gridding of Annular Tissues, A
* Real-Time Multisensory Image Segmentation Algorithm with an Application to Visual and X-Ray Inspection, A
* Region Matching with Missing Parts
* Region-Based Segmentation on Evolving Surfaces with Application to 3D Reconstruction of Shape and Piecewise Constant Radiance
* Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
* Scale Space for Contour Registration Using Minimal Surfaces, A
* second-order PDE tecumque to construct distance functions with more accurate derivatives, A
* Segmentation of Coarse and Fine Scale Features Using Multi-scale Diffusion and Mumford-Shah
* Semi-Automatic Lymph Node Segmentation in LN-MRI
* Shape Adaptive Accelerated Parameter Optimization
* Shape representation via harmonic embedding
* shape-based approach to the segmentation of medical imagery using level sets, A
* Shape-tailored local descriptors and their application to segmentation and tracking
* Shedding light on stereoscopic segmentation
* Sobolev Active Contours
* Sobolev-type metric for polar active contours, A
* Statistical Approach to Snakes for Bimodal and Trimodal Imagery, A
* Statistics and Analysis of Shapes
* Stereoscopic Segmentation
* Stereoscopic Shading: Integrating Multi-Frame Shape Cues in a Variational Framework
* Stochastic differential equations and geometric flows
* Structure from motion for scenes without features
* summary of Geometric Level-Set Analogues for a General Class of Parametric Active Contour and Surface Models, A
* surface evolution approach of probabilistic space carving, A
* Symmetric Fast Marching Schemes for Better Numerical Isotropy
* TAC: Thresholding active contours
* Tales of shape and radiance in multi-view stereo
* Tomographic reconstruction of piecewise smooth images
* Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
* Tracking With Sobolev Active Contours
* Translation, Scale, and Deformation Weighted Polar Active Contours
* Variational Approach to Problems in Calibration of Multiple Cameras, A
* variational framework combining level-sets and thresholding., A
* Variational Framework for Joint Segmentation and Registration, A
* Variational Image Denoising Based on Autocorrelation Whiteness
* Variational multiframe stereo in the presence of specular reflections
* Variational Stereo Imaging of Oceanic Waves With Statistical Constraints
* Variational Stereo Method for the Three-Dimensional Reconstruction of Ocean Waves, A
* vertex-based representation of objects in an image, A
* Vessels as 4-D Curves: Global Minimal 4-D Paths to Extract 3-D Tubular Surfaces and Centerlines
* Vessels as 4D Curves: Global Minimal 4D Paths to Extract 3D Tubular Surfaces
* Weak Statistical Constraints for Variational Stereo Imaging of Oceanic Waves
Includes: Yezzi, A.J.[Anthony J.] Yezzi, A.J. Yezzi, Jr., A.J.[Anthony J.] Yezzi, Jr., A.J. Yezzi, A.J.[Anthony Joseph]
109 for Yezzi, A.J.

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