• DocumentCode
    276549
  • Title

    Particle tracking by deformable templates

  • Author

    Yuille, Alan L. ; Honda, Ko ; Peterson, Carsten

  • Author_Institution
    Div. of Appl. Sci., Harvard Univ., Cambridge, MA, USA
  • Volume
    i
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Firstpage
    7
  • Abstract
    Describes an approach to particle tracking based on deformable templates. Hough transforms are used to give initial conditions for the templates which then converge using a deterministic annealing algorithm. This template approach is closely related to the elastic net algorithm. The authors demonstrate successful results on both simulated and real data. The authors also show how the Hough transform can be derived from the deformable template algorithm as a special case in the low temperature (or gradient descent limit)
  • Keywords
    convergence; neural nets; physics computing; position sensitive particle detectors; proportional counters; simulated annealing; transforms; Hough transforms; convergence; deformable templates; deterministic annealing algorithm; elastic net algorithm; gradient descent limit; initial conditions; particle tracking; Aircraft; Annealing; Application software; Computer vision; Magnetic fields; Neural networks; Particle tracking; Physics; Psychology; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0164-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.155141
  • Filename
    155141