Fig. 1

Schematic of integrated four-dimensional light field sensors via disordered nematic liquid crystal (NLC) medium, imaging chip and deep learning. The input high-dimensional light field of various wavelength, polarization, orbital angular momentum (OAM) and power, are scattered and encoded by a disordered NLC film, forming diversified speckle patterns and being captured in a CMOS imaging chip. The speckle image data can be regarded as states in a n-dimension vector space. The multi-task-learning (MTL) deep neural network (DNN) as a decoder maps the measured vector to the high-dimension space of light field including OAM, wavelength, power and polarization, through a user-define cost function