Image-based polarization detection and material recognition based on liquid crystals

Abstract

We demonstrated an image-based polarization detection system comprising 4 tunable liquid crystal wave plate and 4 polarizers for the measurement of full Stokes parameters and material recognition with a single shot. In this paper, based on polarization property, the metal plate and the glass substrate could be recognized. The one of the applications is to provide a practical way in image-based polarization detection in Advanced Driver Assistance Systems for material recognition which could help in driving safety.