Thursday, May 2025

05:00 PM - 08:00 PM

Room: 220A

Session: AR/VR/MR Posters

Deep Learning-Based Artificially Focused CGH Method with Real-World Objects Using Eye Tracking for Holographic Near-Eye Displays

Description:

We propose a novel computer-generated holography algorithm based on a deep neural network, incorporating an eye-tracking-based artificial focusing control system for near-eye holographic displays. By leveraging eye tracking, the system accurately identifies the focus point on a real object and applies blur to areas outside the focal point using depth information, thereby enhancing visual fidelity; and enhances depth perception, image clarity while effectively minimizing crosstalk and reducing the computational complexity typically associated with deep-neural network.