3D Reconstruction for Holograms

3D reconstruction is a powerful and useful tool for holographic communication and an increasingly interesting topic in the field. Reconstructing the human head under everyday conditions presents a set of challenges, the most important being that the head is not a rigid object. Neural networks have enabled significant progress in 3D reconstruction, first after 2017 with convolutional neural networks, and later, after 2020, with neural radiance fields (NeRF). Since then, NeRF-based approaches have evolved rapidly, through Instant-NGP, then Gaussian splatting, then triangle splatting, and other techniques sharing roots with these methods. In this talk, we demonstrate the application of these techniques to human head reconstruction for holograms, discuss the specifics and evolution of particular methods, and explore the motivation for using neural 3D reconstruction in holographic communication systems.