<title>Intraclass recognition with distortion-invariant filters</title>

Abstract

Correlation filters with sharp delta-function correlation peaks (such as phase only filters and minimum average correlation energy (MACE) filters) do not easily recognize images on which they were not trained. We show that the MACE filter cannot recognize intermediate images of true class objects (e. g. aspect views or rotations midway between two training images). New Gaussian-MACE filters offer a solution to this problem.