Yezierski, R.[Robert]
* Segmentation of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures
Yezzi, A.[Anthony]
* 3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination
* 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
* Multigrid Computation of Rotationally Invariant Non-Linear Optical Flow
* second-order pde tecumque to construct distance functions with more accurate derivatives, 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
Includes: Yezzi, A.[Anthony] Yezzi, A.
8 for Yezzi, A.
Yezzi, A.J.[Anthony J.]
* email: Yezzi, A.J.[Anthony J.]: ayezzi AT ece.gatech.edu
* 3D Topology Preserving Flows for Viewpoint-Based Cortical Unfolding
* Active polygon for object tracking
* 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
* 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
* 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
* Harmonic Embeddings for Linear Shape Analysis
* 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
* Modified Curvature Motion for Image Smoothing and Enhancement
* Multi-view stereo beyond Lambert
* Multi-View Stereo Reconstruction of Dense Shape and Complex Appearance
* 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
* New Implicit Method for Surface Segmentation by Minimal Paths: Applications in 3D Medical Images, A
* New Possibilities with Sobolev Active Contours
* Nonparametric methods for image segmentation using information theory and curve evolution
* nonparametric statistical method for image segmentation using information theory and curve evolution, A
* One-Shot Integral Invariant Shape Priors for Variational Segmentation
* Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects
* 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
* Semi-Automatic Lymph Node Segmentation in LN-MRI
* Shape representation via harmonic embedding
* shape-based approach to the segmentation of medical imagery using level sets, A
* Shedding light on stereoscopic segmentation
* 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
* Tales of shape and radiance in multi-view stereo
* Tracking Deforming Objects Using Particle Filtering for Geometric 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 multiframe stereo in the presence of specular reflections
* vertex-based representation of objects in an image, A
Includes: Yezzi, A.J.[Anthony J.] Yezzi, A.J.
48 for Yezzi, A.J.
Yezzi, Jr., A.J.[Anthony J.]
* Binary and ternary flows for image segmentation
* Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours
* Conformal Metrics and True Gradient Flows for Curves
* 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
* Eulerian PDE Approach for Computing Tissue Thickness, An
* Fully Global Approach to Image Segmentation via Coupled Curve Evolution Equations, 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
* Hybrid Eulerian-Lagrangian Approach for Thickness, Correspondence, and Gridding of Annular Tissues, A
* Model-Based Curve Evolution Technique for Image Segmentation
* More-Than-Topology-Preserving Flows for Active Contours and Polygons
* PDE Approach for Measuring Tissue Thickness, A
* PDE Approach for Thickness, Correspondence, and Gridding of Annular Tissues, A
* Scale Space for Contour Registration Using Minimal Surfaces, A
* Segmentation of Coarse and Fine Scale Features Using Multi-scale Diffusion and Mumford-Shah
* Sobolev Active Contours
* Statistical Approach to Snakes for Bimodal and Trimodal Imagery, A
* Statistics and Analysis of Shapes
* Tomographic reconstruction of piecewise smooth images
* Tracking With Sobolev Active Contours
Includes: Yezzi, Jr., A.J.[Anthony J.] Yezzi, Jr., A.J.
22 for Yezzi, Jr., A.J.