Polarimetric spatio-temporal light transport probing

Light emitted from a source into scene can undergo complex interactions with multiple surfaces of different material types before being reflected towards detector. During this transport, every surface reflection and propagation is encoded in the properties photons that ultimately reach detector, including travel time, direction, intensity, wavelength polarization. Conventional imaging systems capture intensity by integrating over all other dimensions incident light single quantity, hiding rich information these aggregate measurements. Existing methods are capable untangling measurements their spatial temporal dimensions, fueling geometric understanding tasks. However, examining polarimetric jointly an open challenge could enable unprecedented capabilities beyond understanding, allowing for material-dependent through such as macroscopic scattering. In work, we close gap, propose computational transport method captures spatially- temporally-resolved complete response scene, which encodes properties. Our hinges on novel 7D tensor theory transport. We discover low-rank structure dimension data-driven rotating ellipsometry learns to exploit redundancy structure. instantiate our two prototypes: spatio-polarimetric coaxial temporal-polarimetric imaging. This allows us, first decompose temporal, spatial, unveil hidden conventional methods. validate applicability diverse tasks, shape reconstruction subsurface scattering, seeing scattering media, multi-bounce breaking metamerism polarization, decomposition crystals.