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Proceedings Paper

Synthetic discriminant estimating filter using complex constraints
Author(s): Laurent Bigue; Michel Fraces; Pierre Ambs
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Paper Abstract

We previously proposed and implemented a joint transform correlator (JTC) using an optimal trade-off synthetic discriminant function (OT-SDF) filter in order to provide in-plane rotation ivariance. We propose to improve that system by using what we call a synthetic discriminant estimating function (SDEF) filter which also estimates the object rotation angle (without degrading the discrimination capability) through modulating the phase of the correlation peak. Most SDFs/SEFs (synthetic estimating filters) which were real-constrained so far, used the correlation peak height both to determine the object class and to estimate the varying parameter (here the rotation angle); a single correlation could be ambiguous and was not suffiicient. We propose to use the amplitude of the correlation peak only for the discrimination and its phase (which was a free parameter up to now) to indicate the object orientation: we constrain the correlation peak modulus as before, but also constrain the correlation peak phase to be a linear function of the input object rotation angel. Now, discrimination and orientation estimation can be performed simultaneously.

Paper Details

Date Published: 28 August 1995
PDF: 6 pages
Proc. SPIE 2565, Optical Implementation of Information Processing, (28 August 1995); doi: 10.1117/12.217653
Show Author Affiliations
Laurent Bigue, Univ. de Haute Alsace (France)
Michel Fraces, CERT/ONERA (France)
Pierre Ambs, Univ. de Haute Alsace (France)


Published in SPIE Proceedings Vol. 2565:
Optical Implementation of Information Processing
Bahram Javidi; Joseph L. Horner, Editor(s)

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