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Displaying 1-28 out of 28 total
Brain MRI T<inf>1</inf>-Map and T<inf>1</inf>-weighted image segmentation in a variational framework
Found in: Acoustics, Speech, and Signal Processing, IEEE International Conference on
By Ping-Feng Chen, R. Grant Steen, Anthony Yezzi, Hamid Krim
Issue Date:April 2009
pp. 417-420
In this paper we propose a constrained version of Mumford-Shah's[1] segmentationwith an information-theoretic point of view[2] in order to devise a systematic procedure to segment brain MRI data for two modalities of parametric T<inf>1</inf>-Ma...
 
Numerical Conditioning Problems and Solutions for Nonparametric i.i.d. Statistical Active Contours
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Hao Wu,Vikram Appia,Anthony Yezzi
Issue Date:June 2013
pp. 1298-1311
In this paper, we propose an active contour model based on nonparametric independent and identically distributed (i.i.d.) statistics of the image that can segment an image without any a priori information about the intensity distributions of the region of ...
 
Erratum to "Detecting Curves with Unknown Endpoints and Arbitary Topology Using Minimal Paths"
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Vivek Kaul,Anthony Yezzi,Yichang James Tsai
Issue Date:March 2014
pp. web
No summary available.
 
Detecting Curves with Unknown Endpoints and Arbitrary Topology Using Minimal Paths
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Vivek Kaul,Anthony Yezzi,Yichang Tsai
Issue Date:October 2012
pp. 1952-1965
Existing state-of-the-art minimal path techniques work well to extract simple open curves in images when both endpoints of the curve are given as user input or when one input is given and the total length of the curve is known in advance. Curves which bran...
 
Active geodesics: Region-based active contour segmentation with a global edge-based constraint
Found in: Computer Vision, IEEE International Conference on
By Vikram Appia,Anthony Yezzi
Issue Date:November 2011
pp. 1975-1980
We present an active geodesic contour model in which we constrain the evolving active contour to be a geodesic with respect to a weighted edge-based energy through its entire evolution rather than just at its final state (as in the traditional geodesic act...
 
Localized principal component analysis based curve evolution: A divide and conquer approach
Found in: Computer Vision, IEEE International Conference on
By Vikram Appia,Balaji Ganapathy,Anthony Yezzi,Tracy Faber
Issue Date:November 2011
pp. 1981-1986
We propose a novel localized principal component analysis (PCA) based curve evolution approach which evolves the segmenting curve semi-locally within various target regions (divisions) in an image and then combines these locally accurate segmentation curve...
 
A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Romeil Sandhu, Samuel Dambreville, Anthony Yezzi, Allen Tannenbaum
Issue Date:June 2011
pp. 1098-1115
In this work, we present a nonrigid approach to jointly solving the tasks of 2D-3D pose estimation and 2D image segmentation. In general, most frameworks that couple both pose estimation and segmentation assume that one has exact knowledge of the 3D object...
 
3D Topology Preserving Flows for Viewpoint-Based Cortical Unfolding
Found in: Computer Vision, IEEE International Conference on
By Kelvin Rocha, Ganesh Sundaramoorthi, Anthony Yezzi
Issue Date:October 2007
pp. 1-8
We present a variational method for unfolding of the cortex based on a user-chosen point of view as an alternative to more traditional global flattening methods, which incur more distortion around the region of interest. Our approach involves two novel con...
 
Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ganesh Sundaramoorthi, Anthony Yezzi, Andrea Mennucci
Issue Date:May 2008
pp. 851-864
Recently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining their gradients. Sobolev active contours evolve more globally and ar...
 
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, Anthony Yezzi
Issue Date:August 2007
pp. 1470-1475
Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or particle filters have been proposed for finite dimensional representations of shape...
 
Local or Global Minima: Flexible Dual-Front Active Contours
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Hua Li, Anthony Yezzi
Issue Date:January 2007
pp. 1-14
Most variational active contour models are designed to find local minima of data-dependent energy functionals with the hope that reasonable initial placement of the active contour will drive it toward a
 
Vessels as 4D Curves: Global Minimal 4D Paths to Extract 3D Tubular Surfaces
Found in: Computer Vision and Pattern Recognition Workshop
By Hua Li, Anthony Yezzi
Issue Date:June 2006
pp. 82
In this paper, we propose an innovative approach to the segmentation of tubular or vessel-like structures which combines all the benefits of minimal path techniques (global minimizers, fast computation, powerful incorporation of user input) with some of th...
 
Tracking With Sobolev Active Contours
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Ganesh Sundaramoorthi, Jeremy D. Jackson, Anthony Yezzi, Andrea C. Mennucci
Issue Date:June 2006
pp. 674-680
Recently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining their gradients. Sobolev active contours evolve more globally and ar...
 
Conformal Metrics and True
Found in: Computer Vision, IEEE International Conference on
By Anthony Yezzi, Andrea Mennucci
Issue Date:October 2005
pp. 913-919
We wish to endow the manifold M of smooth curves in ℝⁿ with a Riemannian metric that allows us to treat continuous morphs (homotopies) between two curves c₀ and c₁ as trajectories with computable lengths which are independent of the parameterization or rep...
 
More-Than-Topology-Preserving Flows for Active Contours and Polygons
Found in: Computer Vision, IEEE International Conference on
By Ganesh Sundaramoorthi, Anthony Yezzi
Issue Date:October 2005
pp. 1276-1283
Active contour and active polygon models have been used widely for image segmentation. In some applications, the topology of the object(s) to be detected from an image is known a priori, despite an unknown complex geometry, and it is important that the act...
 
Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, Anthony Yezzi
Issue Date:June 2005
pp. 2-9
Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a higher dimensional function. This representation is able to deal with singularit...
 
A Variational Approach to Problems in Calibration of Multiple Cameras
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Gozde Unal, Anthony Yezzi
Issue Date:July 2004
pp. 172-178
This paper addresses the problem of calibrating camera parameters using variational methods. One problem addressed in this paper is the severe lens distortion in wide angle/inexpensive camera lenses. The camera distortion effects lead to inaccurate 3D reco...
 
A Surface Evolution Approach o Probabilistic Space Carving
Found in: 3D Data Processing Visualization and Transmission, International Symposium on
By Anthony Yezzi, Greg Slabaugh, Adrian Broadhurst, Roberto Cipolla, Ron Schafer
Issue Date:June 2002
pp. 618
We present a 3D photography method that generates a texture-mapped three-dimensional model of a scene computed from multi-view calibrated two-dimensional photographs. Our approach first performs probabilistic space carving, which results in a 3D grid of vo...
 
Active Polygon for Object Tracking
Found in: 3D Data Processing Visualization and Transmission, International Symposium on
By Gozde Unal, Hamid Krim, Anthony Yezzi
Issue Date:June 2002
pp. 696
<p>In this paper, we present a technique for object tracking in image sequences, which includes a novel velocity field estimation for vertex locations of a polygon. In this approach, after capturing boundaries of an object by a polygon from the first...
 
A PDE Approach for Measuring Tissue Thickness
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Anthony Yezzi, Jerry L. Prince
Issue Date:December 2001
pp. 87
We outline an Eulerian framework for computing the thickness of tissues between two simply connected boundaries. Thickness is defined as the length of trajectories which follow a smooth vector field constructed in the region between the boundaries. A pair ...
 
A Variational Framework for Joint Segmentation and Registration
Found in: Mathematical Methods in Biomedical Image Analysis, IEEE Workshop on
By Lilla Zöllei, Anthony Yezzi, Tina Kapur
Issue Date:December 2001
pp. 44
Traditionally, segmentation and registration have been solved as two independent problems, even though it is often the case that the solution to one impacts the solution to the other. In this paper, we introduce a geometric, variational framework that uses...
 
A Summary of Geometric Level-Set Analogues for a General Class of Parametric Active Contour and Surface Models
Found in: Variational and Level Set Methods in Computer Vision, IEEE Workshop on
By Chenyang Xu, Jerry L. Prince, Anthony Yezzi Jr
Issue Date:July 2001
pp. 104
Geometric active contours (GACs) and surfaces (GASs) implemented via level set techniques enjoy many advantages over parametric active contours (PACs) and surfaces (PASs), such as computational stability and the ability to change topology during deformatio...
 
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Andy Tsai, Anthony Yezzi, Alan Willsky
Issue Date:June 2000
pp. 1119
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions in an image within which the data are modeled by piecewise smooth functions ...
 
A Statistical Approach to Snakes for Bimodal and Trimodal Imagery
Found in: Computer Vision, IEEE International Conference on
By Anthony Yezzi Jr, Andy Tsai, Alan Willsky
Issue Date:September 1999
pp. 898
In this paper, we describe a new region-based approach to active contours for segmenting images composed of two or three types of regions characterizable by a given statistic. The essential idea is to derive curve evolutions which separate two or more valu...
 
Model-Based Curve Evolution Technique for Image Segmentation
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Andy Tsai, Anthony Yezzi, Jr., William Wells III, Clare Tempany, Dewey Tucker, Ayres Fan, W. Eric Grimson, Alan Willsky
Issue Date:December 2001
pp. 463
We propose a model-based curve evolution technique for segmentation of images containing known object types. In particular, motivated by the work of Leventon, Grimson, and Faugeras [4], we derive a parametric model for an implicit representation of the seg...
 
Stereoscopic Shading: Integrating Mult1Frame Shape Cues in a Variational Framework
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Hailin Jin, Stefano Soatto, Anthony Yezzi
Issue Date:June 2000
pp. 1169
We address the problem of integrating multi-frame stereo and shading cues within the framework of optimization in the infinite-dimensional space of piecewise smooth surfaces. Cue integration then reduces to the determination of regions where prior assumpti...
 
Medical Image Segmentation via Coupled Curve Evolution Equations with Global Constraints
Found in: Mathematical Methods in Biomedical Image Analysis, IEEE Workshop on
By Anthony Yezzi Jr, Andy Tsai, Alan Willsky
Issue Date:June 2000
pp. 12
In this work we modify the coupled curve evolution approach to snakes presented by the authors in previous work for bimodal and trimodal imagery through the introduction of global constraints. The key idea, as before, is to derive curve evolution equations...
 
Texture transfer during shape transformation
Found in: ACM Transactions on Graphics (TOG)
By Anthony Yezzi, Greg Turk, Huong Quynh Dinh
Issue Date:April 2005
pp. 289-310
Mappings between surfaces have a variety of uses, including texture transfer, multi-way morphing, and surface analysis. Given a 4D implicit function that defines a morph between two implicit surfaces, this article presents a method of calculating a mapping...
     
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