Now showing items 97-116 of 210

    • 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 ...
    • Localized Statistics for DW-MRI Fiber Bundle Segmentation 

      Lankton, Shawn; Melonakos, John; Malcolm, James G.; Dambreville, Samuel; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-06)
      We describe a method for segmenting neural fiber bundles in diffusion-weighted magnetic resonance images (DW-MRI). As these bundles traverse the brain to connect regions, their local orientation of diffusion changes ...
    • Localizing Region-Based Active Contours 

      Lankton, Shawn; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-11)
      In this paper, we propose a natural framework that allows any region-based segmentation energy to be re-formulated in a local way. We consider local rather than global image statistics and evolve a contour based on local ...
    • Locally-Constrained Region-Based Methods for DW-MRI Segmentation 

      Melonakos, John; Kubicki, Marek; Niethammer, Marc; Miller, James V.; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-10)
      In this paper, we describe a method for segmenting fiber bundles from diffusion-weighted magnetic resonance images using a locally-constrained region based approach. From a pre-computed optimal path, the algorithm propagates ...
    • Low cost, high performance robot design utilizing off-the-shelf parts and the Beowulf concept, The Beobot project 

      Mundhenk, T. Nathan; Ackerman, Christopher; Chung, Daesu; Dhavale, Nitin; Hudson, Brian; Hirata, Reid; Pichon, Eric; Shi, Zhan; Tsui, April; Itti, Laurent (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2003-10)
      Utilizing off the shelf low cost parts, we have constructed a robot that is small, light, powerful and relatively inexpensive (< $3900). The system is constructed around the Beowulf concept of linking multiple discrete ...
    • Mass-Preserving Maps for Registration and Visual Tracking 

      Haker, Steven; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2001-12)
      We consider a new method for an important aspect of the visual tracking problem. Tracking in the presence of a disturbance is a classical control issue, but because of the highly uncertain nature of the disturbance, this ...
    • Mathematical Methods in Medical Image Processing 

      Angenent, Sigurd; Pichon, Eric; Tannenbaum, Allen R. (Georgia Institute of TechnologyAmerican Mathematical Society, 2006-07)
      In this paper, we describe some central mathematical problems in medical imaging. The subject has been undergoing rapid changes driven by better hardware and software. Much of the software is based on novel methods utilizing ...
    • Minimizing Flows for the Monge–Kantorovich Problem 

      Angenent, Sigurd; Haker, Steven; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety for Industrial and Applied Mathematics, 2003)
      In this work, we formulate a new minimizing flow for the optimal mass transport (Monge–Kantorovich) problem. We study certain properties of the flow, including weak solutions as well as short- and long-term existence. ...
    • Missile Tracking Using Knowledge-Based Adaptive Thresholding 

      Haker, Steven; Sapiro, Guillermo; Tannenbaum, Allen R.; Washburn, Donald (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2001-10)
      We apply a knowledge-based segmentation method developed for still and video images to the problem of tracking missiles and high speed projectiles. Since we are only interested in segmenting a portion of the missile (namely, ...
    • Multi-Object Tracking Through Clutter Using Graph Cuts 

      Malcolm, James G.; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-10)
      The standard graph cut technique is a robust method for globally optimal image segmentations. However, because of its global nature, it is prone to capture outlying areas similar to the object of interest. This paper ...
    • Multi-resolution 3D Nonrigid Registration via Optimal Mass Transport on the GPU 

      Rehman, Tauseef ur; Pryor, Gallagher D.; Melonakos, John; Tannenbaum, Allen R. (Georgia Institute of Technology, 2007)
      In this paper we present computationally efficient implementation of the minimizing flow approach for optimal mass transport (OMT) with applications to non-rigid 3D image registration. Our implementation solves the OMT ...
    • Multigrid optimal mass transport for image registration and morphing 

      Rehman, Tauseef ur; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2007-01-29)
      In this paper we present a computationally efficient Optimal Mass Transport algorithm. This method is based on the Monge-Kantorovich theory and is used for computing elastic registration and warping maps in image registration ...
    • Multimodal Registration of White Matter Brain Data via Optimal Mass Transport 

      Rehman, Tauseef ur; Haber, Eldad; Pohl, Kilian M.; Haker, Steven; Halle, Michael; Talos, Florin; Wald, Lawrence L.; Kikinis, Ron; Tannenbaum, Allen R. (Georgia Institute of TechnologyInsight Software Consortium, 2008-09)
      The elastic registration of medical scans from different acquisition sequences is becoming an important topic for many research labs that would like to continue the post-processing of medical scans acquired via the new ...
    • Multiscale 3D Shape Analysis using Spherical Wavelets 

      Nain, Delphine; Haker, Steven; Bobick, Aaron; Tannenbaum, Allen R. (Georgia Institute of TechnologySpringer Verlag, 2005-10)
      Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of variation, even from a limited training set. ...
    • Neural Tractography Using An Unscented Kalman Filter 

      Malcolm, James G.; Shenton, Martha E.; Rathi, Yogesh (Georgia Institute of Technology, 2009)
      We describe a technique to simultaneously estimate a local neural fiber model and trace out its path. Existing techniques estimate the local fiber orientation at each voxel independently so there is no running knowledge ...
    • A New Distribution Metric for Image Segmentation 

      Sandhu, Romeil; Georgiou, Tryphon T.; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2008-02)
      In this paper, we present a new distribution metric for image segmentation that arises as a result in prediction theory. Forming a natural geodesic, our metric quantifies “distance” for two density functionals as the ...
    • Non-Euclidian metrics and the robust stabilization of systems with parameter uncertainty 

      Khargonekar, Pramod P.; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1985-10)
      This paper considers, from a complex function theoretic point of view, certain kinds of robust synthesis problems. In particular, we use a certain kind of metric on the disk (the "hyperbolic" metric) which allows us to ...
    • Non-linear shape approximation via the entropy scale space 

      Kimia, Benjamin B.; Tannenbaum, Allen R.; Zucker, Steven W. (Georgia Institute of TechnologyInternational Society for Optical Engineering, 1993-07)
      There are two classical approaches to approximating the shape of objects. The first is based on diffusion and often leads to the (Gaussian) smoothing of contour information. The resulting scale-space may often be viewed ...