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
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