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AD-POLARIS: Aperture division polarimetric camera for improved imaging in dispersive media

The objective of the AD-POLARIS project is to develop a novel type of polarimetric camera based on aperture division.

Polarization changes in a scene can give information on surface features, materials, shape, shading, and roughness. The information provided tends to be largely uncorrelated with spectral and intensity images, making polarimetric images especially valuable due to their incremental value in information content, especially in computer vision applications.

Such a contrast enhancement is particularly interesting when applied to dehazing or image recovery through highly scattering media such as fog, smoke, and other turbid media, such as tissue Applications in imaging polarimetry have been found in remote sensing, aerosol characterization, non-invasive cancer diagnostics and astrophysics, among others.

Even if artificial intelligence (AI) based in deep neural networks for recognition tasks have shown great performances using conventional images, deep learning methods based on polarimetric images show improved performances in detection, have been shown to work properly, and are currently a hot topic of research in a field that evolves at full speed.

The general objective of the project is the advance in TRL level from TRL3-4 to TRL6-7 of a novel type of polarimetric camera, not available in the market, based on aperture division, and the start of the execution of a strategy for its commercialization.


Grant PDC2021-121038-I00 funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR.