Now showing items 66-85 of 210

    • 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 ...
    • Graph cut segmentation with nonlinear shape priors 

      Malcolm, James G.; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-09)
      Graph cut image segmentation with intensity information alone is prone to fail for objects with weak edges, in clutter, or under occlusion. Existing methods to incorporate shape are often too restrictive for highly varied ...
    • The Hamilton-Jacobi skeleton 

      Siddiqi, Kaleem; Bouix, Sylvain; Tannenbaum, Allen R.; Zucker, Steven W. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1999-09)
      The eikonal equation and variants of it are of significant interest for problems in computer vision and image processing. It is the basis for continuous versions of mathematical morphology, stereo, shape-from-shading and ...
    • A Hamilton-Jacobi-Bellman Approach to High Angular Resolution Diffusion Tractography 

      Pichon, Eric; Westin, Carl-Fredrik; Tannenbaum, Allen R. (Georgia Institute of TechnologySpringer Verlag, 2005-10)
      This paper describes a new framework for white matter tractography in high angular resolution diffusion data. A direction-dependent local cost is defined based on the diffusion data for every direction on the unit sphere. ...
    • High resolution sensing and anisotropic segmentation for SAR imagery 

      Georgiou, Tryphon T.; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2000-12)
      The purpose of the paper is to introduce new methodologies for high resolution image processing and knowledge-based segmentation for SAR imagery. These techniques could also have a major impact on problems in radar and ...
    • Hybrid geodesic region-based curve evolutions for image segmentation 

      Lankton, Shawn; Nain, Delphine; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2007-02-18)
      In this paper we present a gradient descent flow based on a novel energy functional that is capable of producing robust and accurate segmentations of medical images. This flow is a hybridization of local geodesic active ...
    • Hyperbolic "Smoothing" of shapes 

      Siddiqi, Kaleem; Tannenbaum, Allen R.; Zucker, Steven W. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1998-01)
      We have been developing a theory of generic 2-D shape based on a reaction-diffusion model from mathematical physics. The description of a shape is derived from the singularities of a curve evolution process driven by the ...
    • H₂ Suboptimal Estimation and Control for Nonnegative Dynamical Systems 

      Haddad, Wassim M.; Chellaboina, Vijay Sekhar; Gholami, Behnood (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-07)
      Linear matrix inequalities provide a powerful design framework for linear control problems. In this paper, we use linear matrix inequalities to develop H₂ (sub)optimal estimators and controllers for nonnegative dynamical ...
    • H∞ optimal controllers for a distributed model of an unstable aircraft 

      Enns, Dale; Özbay, Hitay; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1991-12)
      The authors discuss the numerical computation of H∞ optimal controllers for an unstable aircraft model with a time delay. It is shown that the optimal H∞ controller for this infinite-dimensional model can be computed from ...
    • H∞-Optimization Theory for Distributed Systems 

      Tannenbaum, Allen R.; Zames, George; Foias, Ciprian (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1986-12)
      In this note we write down an explicit formula for the computation of the optimal sensitivity of an arbitrary single input/output, linear time-invariant distributed plant. We moreover discuss the uniqueness of the optimal ...
    • Image interpolation based on optimal mass preserving mappings 

      Zhu, Lei; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-04)
      Time domain image interpolation, or image morphing, refers to a class of techniques for generating a set of smoothly changing intermediate images between two given images. Numerous methods have been proposed for this ...
    • Image Morphing Based on Mutual Information and Optimal Mass Transport 

      Zhu, Lei; Yang, Yan; Haker, Steven; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-10)
      Time domain image interpolation, or image morphing, refers to a class of techniques for generating a series of smoothly changing intermediate images between two given related images. In this note, we present a novel approach ...
    • An Image Morphing Technique Based on Optimal Mass Preserving Mapping 

      Zhu, Lei; Yang, Yan; Haker, Steven; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-06)
      Image morphing, or image interpolation in the time domain, deals with the metamorphosis of one image into another. In this paper, a new class of image morphing algorithms is proposed based on the theory of optimal mass ...
    • Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow 

      Michailovich, Oleg V.; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-11)
      This paper addresses the problem of image segmentation by means of active contours, whose evolution is driven by the gradient flow derived froman energy functional that is based on the Bhattacharyya distance. In particular, ...
    • Improved tracking by decoupling camera and target motion 

      Lankton, Shawn; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2008-01)
      Video tracking is widely used for surveillance, security, and defense purposes. In cases where the camera is not fixed due to pans and tilts, or due to being fixed on a moving platform, tracking can become more difficult. ...
    • Integrated Routing and Storage for Messaging Applications in Mobile Ad Hoc Networks 

      Nain, Delphine; Petigara, Noshirwan; Balakrishnan, Hari (Georgia Institute of TechnologySpringer Verlag, 2004-12)
      This paper is motivated by the observation that traditional ad hoc routing protocols are not an adequate solution for messaging applications (e.g., e-mail) in mobile ad hoc networks. Routing in ad hoc mobile networks is ...