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Optical Engineering

Adaptive processing of catadioptric images using polarization imaging: towards a pola-catadioptric model
Author(s): Samia Ainouz; Olivier Morel; David Fofi; Saleh Mosaddegh; Abdelaziz Bensrhair
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Paper Abstract

A nonparametric method to define a pixel neighborhood in catadioptric images is presented. The method is based on an accurate modeling of the mirror shape by mean of polarization imaging. Unlike most processing methods existing in the literature, this method is nonparametric and enables us to respect the catadioptric image’s anamorphosis. The neighborhood is directly derived from the two polarization parameters: the angle and the degree of polarization. Regardless of the shape of the catadioptric sensor’s mirror (including noncentral configurations), image processing techniques such as image derivation, edge detection, interest point detection, as well as image matching, can be efficiently performed.

Paper Details

Date Published: 13 March 2013
PDF: 9 pages
Opt. Eng. 52(3) 037001 doi: 10.1117/1.OE.52.3.037001
Published in: Optical Engineering Volume 52, Issue 3
Show Author Affiliations
Samia Ainouz, Institut National des Sciences Appliquées de Rouen (France)
Olivier Morel, Univ. de Bourgogne (France)
David Fofi, Univ. de Bourgogne (France)
Saleh Mosaddegh, Univ. de Bourgogne (France)
Abdelaziz Bensrhair, Institut National des Sciences Appliquées de Rouen (France)


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