Now showing items 1-20 of 34

    • Affine Invariant Surface Evolutions for 3D Image Segmentation 

      Rathi, Yogesh; Olver, Peter; Sapiro, Guillermo; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2006-01)
      In this paper we present an algorithm for 3D medical image segmentation based on an affine invariant flow. The algorithm is simple to implement and semi-automatic. The technique is based on active contours evolving in time ...
    • Application of Information Theory and Learning to Network and Biological Tomography 

      Narasimha, Rajesh (Georgia Institute of Technology, 2007-11-08)
      Studying the internal characteristics of a network using measurements obtained from endhosts is known as network tomography. The foremost challenge in measurement-based approaches is the large size of a network, where only ...
    • Avian musing feature space analysis 

      Colón, Guillermo J. (Georgia Institute of Technology, 2012-05-24)
      The purpose of this study was to analyze the possibility of utilizing known signal processing and machine learning algorithms to correlate environmental data to chicken vocalizations. The specific musing to be analyzed ...
    • Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification 

      Tsai, Andy; Yezzi, Anthony; Willsky, Alan S. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2001-08)
      In this work, we first address the problem of simultaneous image segmentation and smoothing by approaching the Mumford–Shah paradigm from a curve evolution perspective. In particular, we let a set of deformable contours ...
    • Curve Evolution, Boundary-Value Stochastic Processes, the Mumford-Shah Problem, and Missing Data Applications 

      Tsai, Andy; Yezzi, Anthony; Willsky, Alan S. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2000-09)
      We present an estimation-theoretic approach to curve evolution for the Mumford-Shah problem. By viewing an active contour as the set of discontinuities in the Mumford-Shah problem, we may use the corresponding functional ...
    • Detecting Partially Occluded Objects via Segmentation and Validation 

      Levihn, Martin; Dutton, Matthew; Trevor, Alexander J. B.; Stilman, Mike (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-01)
      This paper presents a novel algorithm: Verfied Partial Object Detector (VPOD) for accurate detection of partially occluded objects such as furniture in 3D point clouds. VPOD is implemented and validated on real sensor ...
    • Detecting Partially Occluded Objects via Segmentation and Validation 

      Levihn, Martin; Dutton, Matthew; Trevor, Alexander J. B.; Stilman, Mike (Georgia Institute of Technology, 2012)
      This paper presents a novel algorithm: Verfied Partial Object Detector (VPOD) for accurate detection of partially occluded objects such as furniture in 3D point clouds. VPOD is implemented and validated on real sensor ...
    • Development of Convective Solder Reflow and Projection Moire System and FEA Model for PWBA Warpage Prediction 

      Powell, Reinhard Edison (Georgia Institute of Technology, 2006-04-11)
      Over the past 50 years, electronics manufacturing industry has undergone revolutionary changes, which have provided consumers with a plethora of electronic products. The increase in functionality of electronic products and ...
    • Development of virtual mitral valve leaflet models from three-dimensional echocardiography 

      Icenogle, David A. (Georgia Institute of Technology, 2012-07-05)
      Mitral valve (MV) disease is responsible for approximately 2,581 deaths and 41,000 hospital discharges each year in the US. Mitral regurgitation (MR), retrograde blood from through the MV, is often an indicator of MV ...
    • Dynamic curve estimation for visual tracking 

      Ndiour, Ibrahima Jacques (Georgia Institute of Technology, 2010-08-03)
      This thesis tackles the visual tracking problem as a target contour estimation problem in the face of corrupted measurements. The major aim is to design robust recursive curve filters for accurate contour-based tracking. ...
    • Effects of ectopic expression of caudal during Drosophila development 

      Mlodzik, Marek; Gibson, Greg; Gehring, Walter J. (Georgia Institute of TechnologyCompany of Biologists, 1990-06-01)
      The effects of heat-shock-induced ectopic expression of the homeobox gene caudal (cad) at all stages of Drosophila development have been examined. Presence of cad protein (CAD) at the anterior end of cellular blastoderm ...
    • Efficient Hierarchical Graph-Based Segmentation of RGBD Videos 

      Hickson, Steven; Birchfield, Stan; Essa, Irfan; Christensen, Henrik I. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2014-06)
      We present an efficient and scalable algorithm for segmenting 3D RGBD point clouds by combining depth, color, and temporal information using a multistage, hierarchical graph-based approach. Our algorithm processes a moving ...
    • Image and Texture Analysis using Biorthogonal Angular Filter Banks 

      Gonzalez Rosiles, Jose Gerardo (Georgia Institute of Technology, 2004-07-09)
      In this thesis we develop algorithms for the processing of textures and images using a ladder-based biorthogonal directional filter bank (DFB). This work is based on the DFB originally proposed by Bamberger and Smith. ...
    • Improving cancer subtype diagnosis and grading using clinical decision support system based on computer-aided tissue image analysis 

      Chaudry, Qaiser Mahmood (Georgia Institute of Technology, 2013-01-02)
      This research focuses towards the development of a clinical decision support system (CDSS) based on cellular and tissue image analysis and classification system that improves consistency and facilitates the clinical decision ...
    • In Vitro Fluid Dynamics of Stereolithographic Single Ventricle Congenital Heart Defects From In Vivo Magnetic Resonance Imaging 

      Kitajima, Hiroumi D. (Georgia Institute of Technology, 2007-07-20)
      Background: Single ventricle congenital heart defects with cyanotic mixing between systemic and pulmonary circulations afflict 2 per 1000 live births. Following the atriopulmonary connection proposed by Fontan and Baudet ...
    • 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 ...
    • Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking 

      Jackson, Jeremy D. (Georgia Institute of Technology, 2007-07-09)
      This dissertation gives a general model for the estimation of shape (image segmentation), appearance, pose (image registration), and movement (tracking). The model can infer parameters for multiple objects in a dynamically ...
    • Learning descriptive models of objects and activities from egocentric video 

      Fathi, Alireza (Georgia Institute of Technology, 2013-06-13)
      Recent advances in camera technology have made it possible to build a comfortable, wearable system which can capture the scene in front of the user throughout the day. Products based on this technology, such as GoPro and ...
    • Localized statistical models in computer vision 

      Lankton, Shawn M. (Georgia Institute of Technology, 2009-09-14)
      Computer vision approximates human vision using computers. Two subsets are explored in this work: image segmentation and visual tracking. Segmentation involves partitioning an image into logical parts, and tracking analyzes ...
    • 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 ...