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Proceedings Paper

Intraclass recognition with distortion-invariant filters
Author(s): David P. Casasent; Gopalan Ravichandran; Srinivas Bollapragada
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Paper 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.

Paper Details

Date Published: 1 November 1990
PDF: 15 pages
Proc. SPIE 1349, Applications of Digital Image Processing XIII, (1 November 1990); doi: 10.1117/12.23556
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Gopalan Ravichandran, Carnegie Mellon Univ. (United States)
Srinivas Bollapragada, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 1349:
Applications of Digital Image Processing XIII
Andrew G. Tescher, Editor(s)

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