Paper
1 November 1990 Intraclass recognition with distortion-invariant filters
David P. Casasent, Gopalan Ravichandran, Srinivas Bollapragada
Author Affiliations +
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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David P. Casasent, Gopalan Ravichandran, and Srinivas Bollapragada "Intraclass recognition with distortion-invariant filters", Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); https://doi.org/10.1117/12.23556
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KEYWORDS
Detection and tracking algorithms

Image filtering

Image resolution

Image processing

Digital image processing

Fourier transforms

Gaussian filters

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