Affine transformation analysis system and method for image matching

in an affine transformation analysis system including a linear rf-processing means for receiving signals of two images and signals of affine parameter vector and providing signals of difference vector of Gabor coefficients of two images and the affine Lie derivatives of said difference vector, an affine parameter incremental updating means for receiving signals of affine parameter increment vector and providing updated affine parameter vector, and a least square error fitting means for receiving signals of said difference vector of Gabor coefficients and providing signals of increment vector of affine parameters, a method for determining the affine transformations between first image and second image described by six parameters comprising the steps of:

• setting up a dynamical system with energy function E({overscore (ρ)})=|{overscore (δ)}({overscore (ρ)})|2, wherein {overscore (ρ)}. the state vector, is the parameter vector of the affine transformation of said dynamical Gabor receptive field means, and the nonlinear function |{overscore (δ)}({overscore (ρ)})| of {overscore (ρ)}, a signal extracted by linear rf-processing means, is substantially equivalent to zero when {overscore (ρ)} is substantially equivalent to said affine transformation between two images;
• and determining at least one minimum point of said energy function which gives affine parameter vectors;