Improving cross-modal face recognition using polarimetric imaging.

We investigate the performance of polarimetric imaging in the long-wave infrared (LWIR) spectrum for cross-modal face recognition. For this work, polarimetric imagery is generated as stacks of three components: the conventional thermal intensity image (referred to as S₀), and the two Stokes images, S₁ and S₂, which contain combinations of different polarizations. The proposed face recognition algorithm extracts and combines local gradient …