Title :
Iterative methods for solving the Gabor expansion: considerations of convergence
Author :
Braithwaite, R. Neil ; Beddoes, Michael P.
Author_Institution :
Dept. of Electr. Eng., British Columbia Univ., Vancouver, BC, Canada
fDate :
4/1/1992 12:00:00 AM
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
Keywords :
convergence of numerical methods; iterative methods; optimisation; picture processing; Gabor expansion; convergence factor; iterative methods; lattice; neural network solution; nonlinear optimisation theory; quasiNewton nonlinear optimisation; steepest descent implementation; Convergence; Cost function; Eigenvalues and eigenfunctions; Error correction; Frequency; Image sampling; Image storage; Iterative methods; Lattices; Neural networks;
Journal_Title :
Image Processing, IEEE Transactions on
