in Practical Holography VII: Imaging and Materials Vol. Breaking crosstalk limits to dynamic holography using orthogonality of high-dimensional random vectors. Accurate calculation of computer-generated holograms using angular-spectrum layer-oriented method. Improved layer-based method for rapid hologram generation and real-time interactive holographic display applications. Interactive three-dimensional holographic displays: seeing the future in depth. 22nd Annual Conference on Computer Graphics and Interactive Techniques, 387–394 (ACM, 1995). Rendering interactive holographic images. Interactive computation of holograms using a look-up table. Computer-generated holograms by multiple wavefront recording plane method with occlusion culling. Symeonidou, A., Blinder, D., Munteanu, A. Extremely high-definition full-parallax computer-generated hologram created by the polygon-based method. Computer-generated holograms of tilted planes by a spatial frequency approach. Computer-generated holograms of 3-D objects composed of tilted planar segments. Holographic image synthesis utilizing theoretical methods. 23rd Annual Conference on Computer Graphics and Interactive Techniques 31–42 (ACM, 1996). Volumetric additive manufacturing via tomographic reconstruction. One-step volumetric additive manufacturing of complex polymer structures. Deep learning in holography and coherent imaging. A volumetric display for visual, tactile and audio presentation using acoustic trapping. 3d-integrated metasurfaces for full-colour holography. Metasurface eyepiece for augmented reality. End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. Review of fast methods for point-based computer-generated holography. Near-eye light field holographic rendering with spherical waves for wide field of view interactive 3D computer graphics. Shi, L., Huang, F.-C., Lopes, W., Matusik, W. Holographic near-eye displays for virtual and augmented reality. Holographic Imaging (John Wiley & Sons, 2008). Our learning-based approach and the Fresnel hologram dataset will help to unlock the full potential of holography and enable applications in metasurface design 6, 7, optical and acoustic tweezer-based microscopic manipulation 8, 9, 10, holographic microscopy 11 and single-exposure volumetric 3D printing 12, 13.īenton, S. With an anti-aliasing phase-only encoding method, we experimentally demonstrate speckle-free, natural-looking, high-resolution 3D holograms. Our CNN is trained with differentiable wave-based loss functions 5 and physically approximates Fresnel diffraction. We enable this pipeline by introducing a large-scale CGH dataset (MIT-CGH-4K) with 4,000 pairs of RGB-depth images and corresponding 3D holograms. Leveraging low-power on-device artificial intelligence acceleration chips, our CNN also runs interactively on mobile (iPhone 11 Pro at 1.1 hertz) and edge (Google Edge TPU at 2.0 hertz) devices, promising real-time performance in future-generation virtual and augmented-reality mobile headsets. Our convolutional neural network (CNN) is extremely memory efficient (below 620 kilobytes) and runs at 60 hertz for a resolution of 1,920 × 1,080 pixels on a single consumer-grade graphics processing unit. Here we demonstrate a deep-learning-based CGH pipeline capable of synthesizing a photorealistic colour 3D hologram from a single RGB-depth image in real time. The computationally taxing Fresnel diffraction simulation further places an explicit trade-off between image quality and runtime, making dynamic holography impractical 4. Yet, existing physically based methods fail to produce holograms with both per-pixel focal control and accurate occlusion 2, 3. Computer-generated holography (CGH) enables high-spatio-angular-resolution 3D projection via numerical simulation of diffraction and interference 1. The ability to present three-dimensional (3D) scenes with continuous depth sensation has a profound impact on virtual and augmented reality, human–computer interaction, education and training.
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