Spectral Polarization Imaging Applied to Surface Inspection – SPIASI

Polarimetric imaging enables the analysis of the polarization states of a reflected light beam. Many works have shown its benefits in
computer vision, particularly in applications such as specular reflection removing, decamouflage or dehazing. On the other hand,
multispectral imaging performs efficiently the spectral reconstruction of reflective objects along a given range of wavelengths. This
project aims to investigate the multimodal imaging model to help for material surface inspection. The work is planned in several
steps: acquire polarimetric/spectral database of images over different surfaces and illumination conditions, study the correlations
across the whole dataset and evaluate the methodology over computer vision algorithms that are dedicated to surface inspection in
industry. The contributions will be made through a demonstrator presented to industry actors, in order to build a consortium for a
future European project.