Deep Learning-Based Optimization of Central Angle and Viewpoint Configuration for 360-Degree Holographic Content

We present a deep learning-based approach to optimize the central angle between adjacent camera viewpoints for the efficient generation of natural 360-degree holographic 3D content. High-quality 360-degree digital holograms require the acquisition of densely sampled RGB–depth map pairs, a process th...

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Detalhes bibliográficos

Principais autores:	Hakdong Kim, Yurim Lee, MinSung Yoon, Cheongwon Kim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-08-01
coleção:	Applied Sciences
Assuntos:	360-degree holographic 3D content RGB-depth map object-centered environment near-eye holographic display depth map estimation computer-generated hologram (CGH)
Acesso em linha:	https://www.mdpi.com/2076-3417/15/17/9465
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