Mirror-based matching of catadioptric images

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Geometric-based segmentation of polarization-encoded images

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Physical Processing of Polarization Images Noise Estimation of Polarization-Encoded Images by Peano-Hilbert Fractal Path

Adapted processing of catadioptric images using polarization imaging

A non parametric method that defines a pixel neighborhood within catadioptric images is presented in this paper. It is based on an accurate modeling of the mirror shape by using polarization imaging. Unlike the most of current processing methods in the literature, this method is non-parametric and can deal with the deformation of catadioptric images. This paper demonstrates how an appropriate neighborhood can be derived from the polarization parameters by estimation of the degree of polarization and the angle of polarization which in return directly provide an adapted neighborhood of each pixel that can be used to perform image derivation, edge detection, interest point detection and namely…

(Omni-)Pola-Catadioptric Vision: Ideas and Experiments

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Filtering of polarization-encoded images by Piano-Hilbert fractal path

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