Stochastic Light Field Holography
This work addresses the challenge of enhancing realism in holographic displays for applications like the Visual Turing Test, representing an incremental advance by focusing on a previously uninvestigated aspect of pupil sampling.
The paper tackled the problem of pupil sampling's effect on viewing experience in full 3D holograms by developing a novel hologram generation algorithm that matches incoherent Light Field and coherent Wigner Function projections, resulting in holograms with correct parallax and focus cues that significantly improve realism for various pupil states.
The Visual Turing Test is the ultimate goal to evaluate the realism of holographic displays. Previous studies have focused on addressing challenges such as limited étendue and image quality over a large focal volume, but they have not investigated the effect of pupil sampling on the viewing experience in full 3D holograms. In this work, we tackle this problem with a novel hologram generation algorithm motivated by matching the projection operators of incoherent Light Field and coherent Wigner Function light transport. To this end, we supervise hologram computation using synthesized photographs, which are rendered on-the-fly using Light Field refocusing from stochastically sampled pupil states during optimization. The proposed method produces holograms with correct parallax and focus cues, which are important for passing the Visual Turing Test. We validate that our approach compares favorably to state-of-the-art CGH algorithms that use Light Field and Focal Stack supervision. Our experiments demonstrate that our algorithm significantly improves the realism of the viewing experience for a variety of different pupil states.