Polarimetric Pose Prediction

Understand

Light has many properties that vision sensors can passively measure.

• Colour-band separated wavelength and intensity are arguably the most commonly used for monocular 6D object pose estimation.
• This paper explores how complementary polarisation information, i.e.
• the orientation of light wave oscillations, influences the accuracy of pose predictions.