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Proceedings Paper

Object detection based on correlation on transformation groups
Author(s): Lamia BenYoussef; Jun Shen; Faouzi Ghorbel
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Paper Abstract

In this work, we propose a unified formulation for correlation techniques in a theoretical framework based on group theory. Indeed, correlation on groups can be defined in terms of transformation groups, feature spaces and invariant measures. As an important example, we describe the correlation functions for the affine group and some of its subgroups. Algorithms are illustrated on underwater images to detect and identify specific objects (such as trawl traces) independently of their pose on the sea bottom.

Paper Details

Date Published: 24 September 2001
PDF: 5 pages
Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441636
Show Author Affiliations
Lamia BenYoussef, Univ. de la Manouba (Tunisia)
Jun Shen, Univ. de Bordeaux III (France)
Faouzi Ghorbel, Univ. de la Manouba (Tunisia)

Published in SPIE Proceedings Vol. 4554:
Object Detection, Classification, and Tracking Technologies

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