Now showing items 185-204 of 210

    • TAC: Thresholding active contours 

      Dambreville, Samuel; Yezzi, Anthony; Lankton, Shawn; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-10)
      In this paper, we describe a region-based active contour technique to perform image segmentation. We propose an energy functional that realizes an explicit trade-off between the (current) image segmentation obtained from ...
    • Texture Mapping via Optimal Mass Transport 

      Dominitz, Ayelet; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-05)
      In this paper, we present a novel method for texture mapping of closed surfaces. Our method is based on the technique of optimal mass transport (also known as the "earth-mover’s metric"). This is a classical problem that ...
    • Time-frequency representation of Lamb waves using the reassigned spectrogram 

      Niethammer, Marc; Jacobs, Laurence J.; Qu, Jianmin; Jarzynski, Jacek (Georgia Institute of TechnologyAcoustical Society of America, 2000-03-23)
      This brief note reports on a study that applies the reassigned spectrogram (the reassigned energy density spectrum of the short-time Fourier transform [STFT]) to develop the dispersion curves for multimode Lamb waves ...
    • Time-varying Finite Dimensional Basis for Tracking Contour Deformations 

      Vaswani, Namrata; Yezzi, Anthony; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-12)
      We consider the problem of tracking the boundary contour of a moving and deforming object from a sequence of images. If the motion of the "object" or region of interest is constrained (e.g. rigid or approximately rigid), ...
    • Tissue Tracking: Applications for Brain MRI Classification 

      Melonakos, John; Gao, Yi; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2007-02-18)
      Bayesian classification methods have been extensively used in a variety of image processing applications, including medical image analysis. The basic procedure is to combine data-driven knowledge in the likelihood terms ...
    • Total-variational-based optical flow for cardiac-wall motion tracking 

      Kumar, Arun; Haker, Steven; Stillman, Arthur; Curry, Cecilia W.; Giddens, Don P.; Tannenbaum, Allen R.; Yezzi, Anthony (Georgia Institute of TechnologySociety of Photo-optical Instrumentation Engineers, 2001-02)
      In this note, we apply an L¹ based approach to optical flow to measure heart wall motions. Our method captures discontinuities and sudden changes in the flow field much better than conventional quadratic gradient approaches.
    • Toward real-time estimation of surface evolution in plasma etching: isotropy, anisotropy, and self-calibration 

      Berg, Jordan M.; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1997-12)
      Level set methods are proving to be an effective tool for simulating surface evolution during chip manufacturing processes such as etching, deposition, and lithographic development. These methods can be implemented using ...
    • Tracking Deformable Objects with Unscented Kalman Filtering and Geometric Active Contours 

      Dambreville, Samuel; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-06)
      Geometric active contours represented as the zero level sets of the graph of a surface have been used very successfully to segment static images. However, tracking involves estimating the global motion of the object and ...
    • Tracking Deforming Objects using Particle Filtering for Geometric Active Contours 

      Rathi, Yogesh; Vaswani, Namrata; Tannenbaum, Allen R.; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-08)
      Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or particle filters have been proposed for ...
    • Tracking Through Changes in Scale 

      Lankton, Shawn; Malcolm, James G.; Nakhmani, Arie; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-10)
      We propose a tracking system that is especially well-suited to tracking targets which change drastically in size or appearance. To accomplish this, we employ a fast, two phase template matching algorithm along with a ...
    • Tracking Through Clutter Using Graph Cuts 

      Malcolm, James G.; Rathi, Yogesh; Tannenbaum, Allen R. (Georgia Institute of Technology, 2007-09)
      The standard graph cut technique is a robust method for globally optimal image segmentation. However, because of its global nature, it is prone to capture outlying areas similar to the object of interest. This paper proposes ...
    • Tracking with a new distribution metric in a particle filtering framework 

      Sandhu, Romeil; Georgiou, Tryphon T.; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety of Photo-Optical Instrumentation Engineers, 2008-01)
    • Tubular Fiber Bundles Segmentation for Diffusion Weighted Images 

      Niethammer, Marc; Zach, Christopher; Melonakos, John; Tannenbaum, Allen R. (Georgia Institute of Technology, 2008-09-10)
      This paper proposes a methodology to segment tubular fiber bundles from diffusion weighted magnetic resonance images (DW-MRI). Segmentation is simplified by locally reorienting diffusion information based on large-scale ...
    • Tubular Surface Evolution for Segmentation of the Cingulum Bundle From DW-MRI 

      Mohan, Vandana; Sundaramoorthi, Ganesh; Melonakos, John; Niethammer, Marc; Kubicki, Marek; Tannenbaum, Allen R. (Georgia Institute of Technology, 2008-09-06)
      This work provides a framework for modeling and extracting the Cingulum Bundle (CB) from Diffusion-Weighted Imagery (DW-MRI) of the brain. The CB is a tube-like structure in the brain that is of potentially of tremendous ...
    • Uncertain Nonlinear Receding Horizon Control Systems Subject to Non-Zero Computation Time 

      Gholami, Behnood; Rabbath, C. A.; Gordon, Brandon W. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2005-12)
      In this paper Receding Horizon Control (RHC) of an uncertain nonlinear system is considered where the computation time is non-negligible. In a well-known method, the solution process of the optimal control problem is started ...
    • An Unsupervised Learning Approach for Facial Expression Recognition using Semi-Definite Programming and Generalized Principal Component Analysis 

      Gholami, Behnood; Haddad, Wassim M.; Tannenbaum, Allen R. (Georgia Institute of TechnologyInternational Society for Optical Engineering, 2010-01-08)
      In this paper, we consider facial expression recognition using an unsupervised learning framework. Specifically, given a data set composed of a number of facial images of the same subject with different facial expressions, ...
    • A variational framework combining level-sets and thresholding 

      Dambreville, Samuel; Niethammer, Marc; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologyBritish Machine Vision Association, 2007-09)
      Segmentation involves separating distinct regions in an image. In this note, we present a novel variational approach to perform this task within the level-sets framework. We propose an energy functional that naturally ...
    • Vessel Segmentation Using a Shape Driven Flow 

      Nain, Delphine; Yezzi, Anthony; Turk, Greg (Georgia Institute of TechnologySpringer Verlag, 2004-09)
      We present a segmentation method for vessels using an implicit deformable model with a soft shape prior. Blood vessels are challenging structures to segment due to their branching and thinning geometry as well as the ...
    • Vessel Segmentation with Automatic Centerline Extraction Using Tubular Tree Segmentation 

      Mohan, Vandana; Sundaramoorthi, Ganesh; Stillman, Arthur; Tannenbaum, Allen R. (Georgia Institute of Technology, 2009-09-20)
      The study of the coronary vessel structure is crucial to the diagnosis of atherosclerosis and other cardiovascular diseases, which together account for about 35% of all deaths in the United States per year. Vessel Segmentation ...
    • Vision-Based Fuzzy 2D Motion Control of a Model Helicopter 

      Tadayoni, S. A.; Gholami, Behnood; Demirli, K. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-06)
      In this paper the 2D motion of a model helicopter is studied. The position control of a 2D model helicopter falls into complex nonlinear problems domain which makes it rather hard. In this paper a fuzzy controller is ...