Abstract: A method and apparatus is provided to determine geometric distortion of an electronic imaging system, and an apparatus is provided to correct geometric distortion of the electronic imaging system and generate geometric distortion-corrected images. The novel geometric distortion measurement system comprises a light source, a collimator, a two dimensional steering device including a driver, and a control device for automatic sampling of the geometric distortion mapping of the electronic imaging system, and writes the results of distortion sampling into an associative memory. The sampling comprises multiple examples of the geometric distortion mapping across the image plane. Each example includes an ideal position of image pixel and its actual registration on the image plane. The measuring device take one example at a time until the whole sample is accomplished.

Abstract: A method and apparatus is provided to determine image affine flow from time-varying imagery. The novel artificial neural computational system of a cortical hypercolumn comprising a plurality of specific orientation (SO) columns and a least square error fitting circuit is based on a Lie group model of cortical visual motion processing. Time-varying imagery, comprising intensity imagery and time-derivative imagery is provided to a plurality of specific orientation (SO) columns comprising simple cells and Lie germs. The cortical representation of image time derivative and affine Lie derivatives are extracted from responses of simple cells and Lie germs, respectively. The temporal derivative and affine Lie-derivative information obtained from each specific orientation (SO) columns is applied to least square error fitting analog circuit having a three layer multiplicative neural architecture to determine image affine flow components in accordance with an error minimization gradient dynamical system technique.