Affordable Access

Iterative methods for solving the Gabor expansion: considerations of convergence.

Authors
  • Braithwaite, R N
  • Beddoes, M P
Type
Published Article
Journal
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Publication Date
Jan 01, 1992
Volume
1
Issue
2
Pages
243–244
Identifiers
PMID: 18296158
Source
Medline
License
Unknown

Abstract

J.G. Daugman's (1988) neural network solution to the Gabor expansion of an image is reformulated as a steepest descent implementation. Nonlinear optimization theory is then applied to select an appropriate convergence factor. Two quasi-Newton-based nonlinear optimization techniques are applied to improve the convergence for certain types of lattice.

Report this publication

Statistics

Seen <100 times