Now showing items 51-70 of 210

    • Fast approximate curve evolution 

      Malcolm, James G.; Rathi, Yogesh; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2008-01)
      The level set method for curve evolution is a popular technique used in image processing applications. However, the numerics involved make its use in high performance systems computationally prohibitive. This paper proposes ...
    • Fast approximate surface evolution in arbitrary dimension 

      Malcolm, James G.; Rathi, Yogesh; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2008-02)
      The level set method is a popular technique used in medical image segmentation; however, the numerics involved make its use cumbersome. This paper proposes an approximate level set scheme that removes much of the computational ...
    • Fast Multigrid Optimal Mass Transport for Image Registration and Morphing 

      Rehman, Tauseef ur; Pryor, Gallagher D.; Tannenbaum, Allen R. (Georgia Institute of TechnologyBritish Machine Vision Association, 2007-09)
      In this paper we present a novel, computationally efficient algorithm for nonrigid 2D image registration based on the work of Haker et al.[1, 2]. We formulate the registration task as an Optimal Mass Transport (OMT) problem ...
    • Fast Optimal Mass Transport for Dynamic Active Contour Tracking on the GPU 

      Pryor, Gallagher D.; Rehman, Tauseef ur; Lankton, Shawn; Vela, Patricio A.; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-12)
      In computational vision, visual tracking remains one of the most challenging problems due to noise, clutter, occlusion, and dynamic scenes. No one technique has yet managed to solve this problem completely, but those that ...
    • Filtered Multitensor Tractography 

      Malcolm, James G.; Shenton, Martha E.; Rathi, Yogesh (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-09)
      We describe a technique that uses tractography to drive the local fiber model estimation. Existing techniques use independent estimation at each voxel so there is no running knowledge of confidence in the estimated model ...
    • Filtered Tractography: State estimation in a constrained subspace 

      Malcolm, James G.; Shenton, Martha E.; Rathi, Yogesh (Georgia Institute of Technology, 2009-09-24)
      We describe amethod of deterministic tractography using model-based estimation that remains constrained to the subspace of valid tensor mixture models. Existing techniques estimate the local fiber orientation at each ...
    • Filtered Tractography: Validation on a Physical Phantom 

      Malcolm, James G.; Shenton, Martha E.; Rathi, Yogesh (Georgia Institute of Technology, 2009-09-24)
      This note summarizes a technique that uses tractography to drive the local fiber model estimation. Existing techniques use independent estimation at each voxel so there is no running knowledge of confidence in the estimated ...
    • Finsler Active Contours 

      Melonakos, John; Pichon, Eric; Angenent, Sigurd; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-03)
      In this paper, we propose an image segmentation technique based on augmenting the conformal (or geodesic) active contour framework with directional information. In the isotropic case, the euclidean metric is locally ...
    • Finsler Level Set Segmentation for Imagery in Oriented Domains 

      Mohan, Vandana; Melonakos, John; Niethammer, Marc; Kubicki, Marek; Tannenbaum, Allen R. (Georgia Institute of TechnologyBritish Machine Vision Association, 2009-09)
      In this paper, we present a novel directional level set segmentation framework employing the theory of Finsler active contours. The framework provides a natural way to perform segmentation of image data in oriented domains. ...
    • Flattening Maps for the Visualization of Multibranched Vessels 

      Zhu, Lei; Haker, Steven; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2005-02)
      In this paper, we present two novel algorithms which produce flattened visualizations of branched physiological surfaces, such as vessels. The first approach is a conformal mapping algorithm based on the minimization of ...
    • Flow Patterns and Wall Shear Stress Distributions at Atherosclerotic-Prone Sites in a Human Left Coronary Artery - An Exploration Using Combined Methods of CT and Computational Fluid Dynamics 

      Jin, Suo; Yang, Yan; Oshinski, John N.; Tannenbaum, Allen R.; Gruden, James; Giddens, Don P. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-09)
      Computed tomography (CT) slices are combined with computational fluid dynamics (CFD) to simulate the flow patterns in a human left coronary artery. The vascular model was reconstructed from CT slices scanned from a healthy ...
    • Flux driven fly-throughs 

      Bouix, Sylvain; Siddiqi, Kaleem; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2003-06)
      We present a fast, robust and automatic method for computing central paths through tubular structures for application to virtual endoscopy. The key idea is to utilize a medial surface algorithm, which exploits properties ...
    • Formulating Invariant Heat-Type Curve Flows 

      Sapiro, Guillermo; Tannenbaum, Allen R. (Georgia Institute of TechnologyInternational Society for Optical Engineering, 1993-07-12)
      We describe a geometric method for formulating planar curve evolution equations which are invariant under a certain transformation group. The approach is based on concepts from the classical theory of differential invariants. ...
    • The four block problem for distributed systems 

      Foias, Ciprian; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1988-12)
      A study is made of the singular values of the four-block operator, which appears naturally in many H∞ control problems. Following the framework of the monograph of B.A. Francis (1987), almost all such robust design problems ...
    • A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors 

      Dambreville, Samuel; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-08)
      Segmentation involves separating an object from the background in a given image. The use of image information alone often leads to poor segmentation results due to the presence of noise, clutter or occlusion. The introduction ...
    • A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior 

      Rathi, Yogesh; Vaswani, Namrata; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-05)
      Tracking deforming objects involves estimating the global motion of the object and its local deformations as functions of time. Tracking algorithms using Kalman filters or particle filters (PFs) have been proposed for ...
    • A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior 

      Dambreville, Samuel; Sandhu, Romeil; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety for Industrial and Applied Mathematics, 2010-03-03)
      In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge of a 3D model. We naturally couple the two processes ...
    • A Geometric Snake Model for Segmentation of Medical Imagery 

      Yezzi, Anthony; Kichenassamy, Satyanad; Kumar, Arun; Olver, Peter; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1997-04)
      We employ the new geometric active contour models, previously formulated, for edge detection and segmentation of magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound medical imagery. Our method is ...
    • Gradient flows and geometric active contour models 

      Kichenassamy, Satyanad; Kumar, Arun; Olver, Peter; Tannenbaum, Allen R.; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1995-06)
      In this paper, we analyze the geometric active contour models discussed previously from a curve evolution point of view and propose some modifications based on gradient flows relative to certain new feature-based Riemannian ...
    • A Graph Cut Approach to Image Segmentation in Tensor Space 

      Malcolm, James G.; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-06)
      This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly taken into account by first mapping the ...