全息术
分层
计算机科学
人工神经网络
全息显示器
人工智能
立体显示器
质量(理念)
计算机视觉
计算机图形学(图像)
光学
哲学
植物
物理
认识论
生物
作者
Tuvshinjargal Amgalan,Erkhembaatar Dashdavaa,Ferdous Hossain,Rupali Shinde,Md. Biddut Hossain,Hui‐Ying Wu,Seokhee Jeon,Nam-Kim
标识
DOI:10.1364/3d.2023.jtu4a.30
摘要
We propose generated a high-quality 3D model using a deep neural network by acquiring high-resolution 3D data from real-world objects and generated a high-speed and high-quality 3D CGH based on integrated hybrid map layering for use in holographic display.
科研通智能强力驱动
Strongly Powered by AbleSci AI