13 March 2013 Adaptive processing of catadioptric images using polarization imaging: towards a pola-catadioptric model
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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.
© 2013 Society of Photo-Optical Instrumentation Engineers (SPIE)
Samia Ainouz, Samia Ainouz, Olivier Morel, Olivier Morel, David Fofi, David Fofi, Saleh Mosaddegh, Saleh Mosaddegh, Abdelaziz Bensrhair, Abdelaziz Bensrhair, } "Adaptive processing of catadioptric images using polarization imaging: towards a pola-catadioptric model," Optical Engineering 52(3), 037001 (13 March 2013). https://doi.org/10.1117/1.OE.52.3.037001 . Submission:
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