Now showing items 80-99 of 210

    • 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 ...
    • An Interactive Virtual Endoscopy Tool 

      Nain, Delphine; Haker, Steven; Kikinis, Ron; Grimson, W. Eric L. (Georgia Institute of Technology, 2001-09)
      In this paper, we present the design and implementation of a 3D Virtual Endoscopy system for facilitating diagnostic and surgical planning phases of endoscopic procedures. Our system allows the user to interactively explore ...
    • Intra-Patient Prone to Supine Colon Registration for Synchronized Virtual Colonoscopy 

      Nain, Delphine; Haker, Steven; Grimson, W. Eric L.; Cosman, Eric R., Jr.; Wells, William W.; Ji, Hoon; Kikinis, Ron; Westin, Carl-Fredrik (Georgia Institute of TechnologySpringer Verlag, 2002-09)
      In this paper, we present an automated method for colon registration. The method uses dynamic programming to align data defined on colon center-line paths, as extracted from the prone and supine scans. This data may include ...
    • Introduction to the Special Issue on Partial Differential Equations and Geometry-Driven Diffusion in Image Processing and Analysis 

      Caselles, Vicent; Morel, Jean-Michel; Sapiro, Guillermo; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1998-03)
    • Invariant geometric evolutions of surfaces and volumetric smoothing 

      Olver, Peter; Sapiro, Guillermo; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety for Industrial and Applied Mathematics, 1997-02)
      The study of geometric flows for smoothing, multiscale representation, and analysis of two- and three-dimensional objects has received much attention in the past few years. In this paper, we first survey the geometric ...
    • An ITK Filter for Bayesian Segmentation: itkBayesianClassifierImageFilter 

      Melonakos, John; Krishnan, Karthik; Tannenbaum, Allen R. (Georgia Institute of TechnologyInsight Software Consortium, 2006-01-09)
      An Insight Toolkit (ITK) filter for image segmentation with applications to brain MRI scans is presented in this paper. Previously, we showed how ITK could be used to implement our algorithm. This paper presents our new ...
    • Kernel-based high-dimensional histogram estimation for visual tracking 

      Karasev, Peter; Malcolm, James G.; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-10)
      We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters such as mixed moments provides a significantly ...
    • Knowledge-based 3D segmentation and reconstruction of coronary arteries using CT images 

      Yang, Yan; Tannenbaum, Allen R.; Giddens, Don P. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-09)
      An approach for the 3D segmentation and reconstruction of human left coronary arteries using angio-CT images is presented in This work. Each voxel in the 3D dataset is assumed to belong to one of the three homogeneous ...
    • Knowledge-Based Segmentation for Tracking Through Deep Turbulence 

      Vela, Patricio A.; Niethammer, Marc; Pryor, Gallagher D.; Tannenbaum, Allen R.; Butts, Robert; Washburn, Donald (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-05)
      A combined knowledge-based segmentation/active contour algorithm is used for target tracking through turbulence. The algorithm utilizes Bayesian modeling for segmentation of noisy imagery obtained through longrange, laser ...
    • Knowledge-Based Segmentation of Brain MRI Scans Using the Insight Toolkit 

      Melonakos, John; Al-Hakim, Ramsey; Fallon, James; Tannenbaum, Allen R. (Georgia Institute of TechnologyInsight Software Consortium, 2005-09)
      An Insight Toolkit (ITK) implementation of our knowledge-based segmentation algorithm applied to brain MRI scans is presented in this paper. Our algorithm is a refinement of the work of Teo, Saprio, and Wandall. The basic ...
    • Knowledge-based segmentation of SAR data with learned priors 

      Haker, Steven; Sapiro, Guillermo; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2000-02)
      An approach for the segmentation of still and video synthetic aperture radar (SAR) images is described in this note. A priori knowledge about the objects present in the image, e.g., target, shadow, and background terrain, ...
    • Knowledge-based segmentation of SAR images 

      Haker, Steven; Sapiro, Guillermo; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1998)
      A new approach for the segmentation of still and video SAR images is described. A priori knowledge about the objects present in the image, e.g., target, shadow, and background terrain, is introduced via Bayes' rule. Posterior ...
    • Label Space: A Coupled Multi-shape Representation 

      Malcolm, James G.; Rathi, Yogesh; Shenton, Martha E.; Tannenbaum, Allen R. (Georgia Institute of TechnologySpringer Verlag, 2008-09)
      Richly labeled images representing several sub-structures of an organ occur quite frequently in medical images. For example, a typical brain image can be labeled into grey matter, white matter or cerebrospinal fluid, each ...
    • A Laplace equation approach for shape comparison 

      Pichon, Eric; Nain, Delphine; Niethammer, Marc (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2006-02)
      In this paper we propose a principled approach for shape comparison. Given two surfaces, one to one correspondences are determined using the Laplace equation. The distance between corresponding points is then used to define ...
    • Layered Active Contours for Tracking 

      Pryor, Gallagher D.; Vela, Patricio A.; Rehman, Tauseef ur; Tannenbaum, Allen R. (Georgia Institute of TechnologyBritish Machine Vision Association, 2007-09)
      This paper deals with the task of object tracking in the presence of occlusions and clutter by fitting a layered appearance model to data. Four major problems must be overcome: (1) the association of each pixel to a ...