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This paper deals with area-based subpixel image registration under the rotation-isometric scaling-translation transformation hypothesis. Our approach is based on parametrical modeling of geometrically transformed textural image fragments and maximum-likelihood estimation of the transformation vector between them. Due to the parametrical approach based on the fractional Brownian motion modeling of...
The paper deals with theoretical and practical aspects of location parameter robust estimation for data samples of limited size under assumption that they obey a heavy-tailed distribution symmetric with respect to location parameter. It is assumed that distribution and/or its parameter are a priori unknown. Then, adaptation is desirable in order to provide appropriate accuracy. Four different adaptive...
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