2023-07-21 |
13:00-13:45 |
2023-07-21,13:00-13:45 | LR13 (A7 3F) |
07-21 Afternoon TCIS Lecture Room 13 (A7 3F)
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Speaker |
Next-Generation Holographic Displays Incorporating Optics and Machine Intelligence From cameras to displays, visual computing systems are becoming ubiquitous in our daily life. In particular, holographic near-eye displays promise unprecedented capabilities for virtual and augmented reality (VR/AR) systems. However, their underlying design principles have stagnated after decades of evolution. The image quality achieved by traditional holographic displays is limited, and algorithms for computer-generated holography (CGH) are slow. This shortcoming is due to a lack of co-design between hardware and software, importantly, impeding the delivery of vivid 3D visual experience. This talk covers a family of Neural Holography advances that apply the unique combination of machine intelligence and physics to solve long-standing problems of computer-generated holography (CGH). With leveraging the advantages of camera-based optimization and neural-network model representation, we are able to deliver full-color, high-fidelity, 3D holographic images. Driven by trending machine intelligence, these hardware-software jointly optimized holography techniques can unlock the full potential of VR/AR/MR applications.
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