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Carsten Peterson

Expert

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Particle tracking by deformable templates

Author

  • Alan L. Yuille
  • Ko Honda
  • Carsten Peterson

Editor

  • Anon

Summary, in English

The authors describe 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).

Department/s

  • Computational Biology and Biological Physics - Has been reorganised

Publishing year

1991-12-01

Language

English

Pages

7-12

Publication/Series

Proceedings. IJCNN-91-Seattle : International Joint Conference on Neural Networks

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Bioinformatics (Computational Biology)

Conference name

International Joint Conference on Neural Networks - IJCNN-91-Seattle

Conference date

1991-07-08 - 1991-07-12

Conference place

Seattle, WA, USA

Status

Published

ISBN/ISSN/Other

  • ISBN: 0780301641