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Proceedings Paper

Distortion-insensitive correlation constellation detection
Author(s): Charles Casey; Laurence G. Hassebrook; Eli Crane; Aaron Davidson
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Paper Abstract

There are applications that require detection of multiple features which remain consistent in shape locally, but may change position with respect to one another globally. We refer to these feature sets as multi-feature constellations. We introduce a multi-level correlation filter design which uses composite feature detection filters, which on one level detect local features, and then on the next level detect constellations of these local feature responses. We demonstrate the constellation filter method with sign language recognition and fingerprint matching.

Paper Details

Date Published: 26 April 2011
PDF: 11 pages
Proc. SPIE 8055, Optical Pattern Recognition XXII, 80550A (26 April 2011); doi: 10.1117/12.881977
Show Author Affiliations
Charles Casey, Univ. of Kentucky (United States)
Laurence G. Hassebrook, Univ. of Kentucky (United States)
Eli Crane, Univ. of Kentucky (United States)
Aaron Davidson, Univ. of Kentucky (United States)


Published in SPIE Proceedings Vol. 8055:
Optical Pattern Recognition XXII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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