3 papers
cs.CV2023
Central Angle Optimization for 360-degree Holographic 3D Content
Hakdong Kim, Minsung Yoon, Cheongwon Kim
In this study, we propose a method to find an optimal central angle in deep learning-based depth map estimation used to produce realistic holographic content. The acquisition of RG…
cs.CV2023
A novel approach for holographic 3D content generation without depth map
Hakdong Kim, Minkyu Jee, Yurim Lee +3
In preparation for observing holographic 3D content, acquiring a set of RGB color and depth map images per scene is necessary to generate computer-generated holograms (CGHs) when u…
cs.CV2021
Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography
Hakdong Kim, Heonyeong Lim, Minkyu Jee +5
In this paper, we propose a novel, convolutional neural network model to extract highly precise depth maps from missing viewpoints, especially well applicable to generate holograph…